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Journal of Clinical Microbiology, April 2003, p. 1760-1762, Vol. 41, No. 4
0095-1137/03/$08.00+0 DOI: 10.1128/JCM.41.4.1760-1762.2003
Copyright © 2003, American Society for Microbiology. All Rights Reserved.
Department of Public Health, University of Rome Tor Vergata,1 National Institute of Infectious Diseases, IRCCS L. Spallanzani,2 Department of Infectious Diseases, University of Rome La Sapienza,3 Laboratory of Virology, Istituto Superiore di Sanità, Rome,5 Institute of Immunology and Infectious Diseases, University of Verona, Verona, Italy4
Received 27 June 2002/ Returned for modification 8 August 2002/ Accepted 23 December 2002
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This study was designed to assess the level of agreement between the drug resistance-associated mutations in plasma and peripheral blood mononuclear cells (PBMCs) in 32 patients for whom highly active antiretroviral therapy (HAART) was failing.
A commercial kit was used to identify mutations in the pol gene of HIV type 1 (HIV-1) (ViroSeq HIV-1 V2 genotyping system; PE Biosystems, Foster City, Calif.). DNA was extracted from 3 x 106 PBMCs with a High Pure PCR template preparation kit (Roche Diagnostics GmbH, Mannheim, Germany).
The Cohen k test was used to determine the correlation between the presence of HIV-1 drug resistance in plasma and PBMCs. Cohen k agreement is defined as poor if k is
0.20, fair if k is
0.21 and
0.60, substantial if k is
0.61 and
0.80, and good if k is >0.80 (5). The association between determinant factors and discordance in plasma and PBMC genotypic analysis was assessed by crude and adjusted odds ratios (OR) and their 95% confidence intervals (CI) through univariate and multivariate models.
Patients received a mean of 5.5 antiretroviral drugs (range, 3 to 8) during a mean of 57 months of treatment (range, 9 to 126). Twenty-eight (87%) and 16 (50%) of 32 subjects were exposed to protease inhibitors (PI) and nonnucleoside reverse transcriptase inhibitors (NNRTI), respectively.
In 492 (21.9%) of 2,240 codons analyzed, there was evidence of drug resistance. In plasma and PBMC genotypic analysis, means of 7.4 (±4.7 [standard deviation]) and 7.9 (±5.5) drug resistance mutations were detected, respectively. When total numbers of mutations were calculated for each sample, they were higher in plasma than in PBMCs in 9 of 32 samples (28%), higher in PBMCs than plasma in 14 of 32 samples (43%), and the same in plasma and PBMCs in 9 of 32 samples (28%). A significant correlation between the time of the last ART and the number of protease (PR)-related drug resistance mutations detected in plasma (r = 0.42; P = 0.024) and in PBMCs (r = 0.52; P = 0.006) was found. No significant correlation between mutations in the reverse transcriptase (RT) gene in PBMCs and plasma and the time of drug exposure was detected.
The agreement values (mean Cohen k) between drug resistance mutations in plasma and PBMCs are shown in Table 1. The mean of the k values for each codon was 0.85 (range, 0.32 to 1). Codons with the lowest k values in the PR gene were 20R, 63P, and 84V, whereas that in the RT gene was 184V. All NNRTI-related mutations (103N, 108I, 181C, 188H, and 190A) had good agreement (k > 0.80).
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TABLE 1. Agreement values between primary and secondary HIV-1 drug resistance mutations detected in plasma and PBMCs
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Univariate analysis showed no significant difference in terms of demographic, virologic, and immunologic parameters between the 8 patients with discordant genotypic PBMC-plasma analysis and the remaining 24 patients with concordant genotypes (Table 2).
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TABLE 2. Demographic and clinical parameters of 32 patients for whom HAART was failing, stratified according to the agreement of primary drug resistance-associated mutations in PBMCs and plasma
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A substantial correlation between HIV-1 drug resistance mutations detected in plasma and PBMCs of patients for whom HAART was failing was detected in this study. Nevertheless, PBMC HIV sequences showed a wider variety of mutations than viral sequences from plasma.
Plasma HIV RNA represents the aliquot of actively replicating virus selected by the antiretroviral regimen administered (4). In this respect, a significantly more homogeneous virus population in plasma during treatment may not be surprising. PBMC HIV DNA reflects archival proviral sequence with the widest genetic diversity, in which all the changes accumulated over time during the subsequent treatment schedules can be detected together with the wild-type viral strain (7).
In this study, the primary mutations related to NNRTI resistance showed a good agreement (k > 0.80) in the two biological compartments analyzed. Previous reports showed that subjects with primary HIV infections had a high prevalence of transmission of HIV-resistant strains (2, 9) and of NNRTI-resistant isolates (6). A possible explanation of these findings is that HIV-1 strains with the primary mutations related to NNRTI resistance (6) show no significant difference in terms of replication capacity with respect to the wild-type virus. Therefore, a sustained viral fitness could explain the transmission of drug-resistant virus and the presence of the same mutational pattern in different compartments.
In agreement with another study (1), the virus carrying the 184V mutation had one of the lowest agreement values (k = 0.625) between the two compartments. Several reports demonstrated an impaired fitness of isolates with 184V related to reduced RT processivity and increased fidelity (10, 11) and to reduced pyrophosphorolysis (3).
In this study, the majority of discordant primary mutations in the PR gene were detected only in PBMCs. Specifically, the four patients with PI-related drug resistance mutations detected only in PBMCs (82A in two patients, 84V and 46I in one patient each) were not undergoing PI therapy at the time of the genotypic analysis but had been previously treated with PI.
In clinical practice, the presence of drug-resistant viral strains is routinely verified in plasma samples. However, archival HIV DNA present in PBMCs might represent the reservoir of additional drug-resistant viral variants that could emerge after a failing therapy is changed based on genotypes detected in plasma. Moreover, sequencing HIV DNA from PBMCs may be useful during a simplification of ART in patients with undetectable viral loads.
We thank Marco Montano for technical assistance and Olga Tagliaferri for text revision.
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