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Please cite this article in press as: Paba, P., et al., Performance evaluation of the COBAS/TaqMan HIV-1 v2.0 in HIV-1 positive patients with low viral load: A comparative study. J. Virol. Methods (2011), doi:10.1016/j.jviromet.2011.03.014

ARTICLE IN PRESS

G Model

VIRMET 11493 1–4

Journal of Virological Methods xxx (2011) xxx–xxx

1

Contents lists available atScienceDirect

Journal of Virological Methods

j o u r n a l h o m e p a g e :w w w . e l s e v i e r . c o m / l o c a t e / j v i r o m e t

Short communication

1

Performance evaluation of the COBAS/TaqMan HIV-1 v2.0 in HIV-1 positive

patients with low viral load: A comparative study

2 3

Pierpaolo Paba

a

, Lavinia Fabeni

a

, Massimo Ciccozzi

b

, Carlo Federico Perno

a

, Marco Ciotti

a,∗ 4

aLaboratory of Molecular Virology, Foundation Polyclinic Tor Vergata, Viale Oxford, 81-00133 Rome, Italy

5

bDepartment of Infectious, Parasitic and Immunomediated Diseases, National Institute of Health, Viale Regina Elena, 299-00161 Rome, Italy

6 7 8 Article history: 9 Received 7 December 2010 10

Received in revised form 4 March 2011

11 Accepted 9 March 2011 12 Available online xxx 13 Keywords: 14 HIV-1 15 Real-time PCR 16

Low viral load

17

a b s t r a c t

HIV-1 viral load determination is a crucial step for monitoring the efficacy of highly active antiretroviral therapy (HAART) and predicts disease progression. Real-time PCR based assays are available for moni-toring the viral load. They differ in sensitivity, genomic target region and dynamic range. In this study, the performance of the Roche Cobas Taqman HIV-1 v2.0 was evaluated on plasma samples from HIV-1 positive patients in parallel with the Abbott RealTime HIV-1 assay in a routine diagnostic setting. Overall, there was a good agreement between the two assays. However, some samples detected by the Abbott RealTime HIV-1 assay but below the limit of quantitation of the assay were found negative result when tested with the Roche Cobas Taqman HIV-1 v2.0. It is conceivable that signal anomalies or background noise may affect the lower-end precision of the Abbott RealTime HIV-1 assay. Based on these results, it is concluded that it is not recommended to switch platform during longitudinal viral load monitoring of HIV-1 positive patients.

© 2011 Published by Elsevier B.V.

1. Introduction

18

Quantitation of HIV-RNA is a critical step to monitor highly

19

active antiretroviral therapy (HAART) and predict disease

progres-20

sion (Mellors et al., 1997). Viral load levels below the limit of

21

quantitation usually reflect adherence to treatment and efficacy of

22

HAART (Gross et al., 2001; Bagchi et al., 2007). On the contrary,

23

quantifiable HIV-1 RNA may suggest poor treatment adherence

24

or virological failure. In elite controllers, individuals who control

25

spontaneously viral replication without antiretroviral drugs, low

26

levels of viremia (down to 2 copies/ml) have been detected by

27

ultrasensitive methods and were related to higher HIV-1-specific

28

antibody responses and low levels of CD4+ (Pereyra et al., 2009).

29

Understanding the meaning of very low viral load may be relevant

30

for patient management (Di Mascio et al., 2004).

31

Currently, several commercial assays are available for

quantita-32

tion of plasma HIV-1 RNA. They differ in sensitivity, dynamic range,

33

target region, and amplification method (Peter and Sevall, 2004).

34

Real-time PCR is the method used most widely and it offers a series

35

of advantages over the conventional molecular methods: such as

36

(i) increased analytical sensitivity, (ii) faster results, (iii) reduced

37

risk of contamination, and (iv) wider dynamic range.

38

∗ Corresponding author. Tel.: +39 06 20902087; fax: +39 06 20902078. E-mail address:marco.ciotti@ptvonline.it(M. Ciotti).

The extensive genetic variability of HIV-1 strains circulating 39

world-wide has an important impact on the management of this 40

infection, from the identification of infected persons to viral load 41

determination and monitoring of treatment. There is currently no 42

assay able to quantify the whole spectrum of circulating HIV-1 43

strains. Differences in primers/probe design, target region, technol- 44

ogy used may be responsible for underestimation of the viral load 45

or failure of detection with direct implications for clinical manage- 46

ment and detection of treatment failure (Peeters et al., 2010). 47

Amplification of multiple targets of HIV-1 genome may improve 48

the accuracy of viral load determination. In this study, plasma 49

samples from HIV-1 positive patients were tested by the Abbott 50

RealTime HIV-1 assay in comparison with the Roche Cobas Taq- 51

man HIV-1 v2.0 (Roche Diagnostics, Branchburg, NJ, USA), which 52

uses a multiplex real-time PCR approach to amplify the gag and 53

LTR regions within the HIV-1 genome. The goal of the study was to 54

verify whether the Roche multiplex real-time approach improves 55

the accuracy of viral load determination especially in samples with 56

low or not quantitated viremia (<40 copies/ml) as measured by the 57

Abbott RealTime HIV-1 assay. 58

2. Materials and methods 59

2.1. Study group 60

The study was carried out on 109 plasma samples from 59 61

HIV-1 positive patients (25 women and 34 men) admitted at the 62

0166-0934/$ – see front matter © 2011 Published by Elsevier B.V. doi:10.1016/j.jviromet.2011.03.014

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Please cite this article in press as: Paba, P., et al., Performance evaluation of the COBAS/TaqMan HIV-1 v2.0 in HIV-1 positive patients with low viral load: A comparative study. J. Virol. Methods (2011), doi:10.1016/j.jviromet.2011.03.014

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2 P. Paba et al. / Journal of Virological Methods xxx (2011) xxx–xxx

Table 1

Range of HIV-1 viral load in the three groups of patients examined.

Abbott RealTimeHIV-1 (copies/ml) Cobas Taqman HIV-1 v2.0 (copies/ml) N. viral subtypes N. samples Viral load range N. samples Viral load range

Group I 28 40–100 3 TND 2, B; 1, F 4 <20 detected 2, NA; 2, B 6 20–40 2, CRF02 AG; 2, F; 1, B; 1, G 2, 6 40–100 NA; 3, B; 1, G 9 >100a 2, G; 6, B; 1, CRF01 AE Group II 12 >100 0 TND 0 <40 3 40–100 2, B; 1, CRF02 AG 9 >100 2, NA; 6, B; 1, C

Group III 69 <40 17 TND 14, B; 2, NA; 1, G

22 <20 detected 15, B; 2, G; 1, NA; 1, C; 1, F; 2, CRF02 AG

14 20–40 10, B; 1, F; 1, CRF02 AG, 2, NA;

11 40–100 10, B; 1, G

5 >100b 5, B

TND: target not detected; NA: not available.

aViral load >100 copies/ml detected by Cobas Taqman HIV-1 v2.0 in group I. bViral load >100 copies/ml detected by Cobas Taqman HIV-1 v2.0 in group III.

Infectious Diseases ward of the Polyclinic Tor Vergata. Of these

63

patients, four were infected by the recombinant form CRF02 AG,

64

one by CRF01 AE, five by subtype G, four by subtype F, one by

65

subtype C, and 37 by subtype B. No information on the viral subtype

66

was available for 7 patients. CD4+ count was also performed as

67

part of the routine investigation.

68

2.2. HIV-1 RNA extraction and amplification

69

Two aliquots of 1 ml each of plasma were collected from each

70

patient and tested independently by the Roche and Abbott systems.

71

In the case of Roche assay, the COBAS Ampliprep instrument was

72

used for automated specimen processing and the Cobas TaqMan48

73

for the automated amplification and detection (Roche Molecular

74

System, Inc., Branchburg, NJ, USA). Samples tested by the Abbott

75

assay were run on the m2000 system, a platform capable of

76

automated RNA extraction and PCR set-up, followed by

amplifi-77

cation/detection (Abbott Molecular Inc., Des Plaines, IL, USA).

78

The Cobas Ampliprep/Cobas Taqman HIV-1 v2.0 can

quan-79

titate HIV-1 RNA over the range of 20–10,000,000 copies/ml,

80

while the Abbott HIV-1 RealTime test quantitates over a range of

81

40–10,000,000 copies/ml.

82

When the samples were discordant qualitatively

(posi-83

tive/negative), an “in-house” nested PCR targeting a 220 bp

84

fragment of the V3 region within the gp120 gene was performed.

85

The sensitivity of the method is 10 copies/ml (data not shown).

86

Primers sequences are available upon request. Viral RNA was

87

reverse transcribed using the SuperScript®One-Step RT-PCR Sys-88

tem (Invitrogen, Milan, Italy) according to the following thermal

89

profile: 1 cycle at 50◦C, 30 min, then 1 cycle at 94◦C, 2 min, 40

90

cycles at 95◦C, 30 s, 51◦C, 30 s, 72◦C, 50 s; with a final extension

91

step at 72◦C, for 10 min. In the second round PCR the conditions

92

were: 1 cycle at 93◦C, 12 min; 40 cycles at 95◦, 30 s, 52◦C, 30 s,

93

72◦C, 40 s; followed by 1 cycle at 72◦C, 10 min. Precautions were

94

taken to avoid contamination and controls were included in each

95

PCR run. The amplicons were checked on a 2% agarose gel under

96

UV light.

97

2.3. Statistical analysis

98

Linear regression and correlation analysis were employed to

99

determine assays relationship. The method of Bland–Altman was

100

applied to assess the agreement between the two assays.

101

3. Results 102

Of the 109 plasma samples tested by the Abbott HIV-1 RealTime 103

assay, 28 had a viral load between 40 and 100 copies/ml (group I), 104

12 >100 copies/ml (group II), while 69 were positive but below the 105

limit of quantitation of the assay (<40 copies/ml, group III). When 106

the same samples of the group I were tested by Cobas TaqMan HIV- 107

1 v.2.0, 3 were negative (target not detected), 4 were <20 copies/ml 108

(detected), 6 between 20 and 40 copies/ml, 6 between 40 and 100 109

copies/ml, and 9 above 100 copies/ml. In the group II, 3 samples 110

had a viremia between 40 and 100 copies/ml, and 9 >100 copies/ml. 111

Finally, in the group III, where all 69 samples tested by the Abbott 112

assay were <40 copies/ml, 17 were undetected, 22 were positive 113

but <20 copies/ml, 14 had a viremia between 20 and 40 copies/ml, 114

11 between 40 and 100, and 5 >100 copies/ml. 115

In the group I, three patients had a subtype G, two a subtype 116

F, two a CRF02 AG recombinant form, one CFR02 AE recombinant 117

form, two an unknown genotype, and 22 were infected by subtype 118

B. 119

In the group II, one patient had subtype C, one subtype 120

CRF02 AG, two an unknown genotype and eight a subtype B. 121

Group III, three patients were infected with the recombinant form 122

CFR02 AG, two with subtype F, two with subtype G, one with 123

y = 1.0147x + 0.0371 r = 0.9691 0.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 8.00 7.00 6.00 5.00 4.00 3.00 2.00 1.00 0.00

Abbott log copies/ml

Roche log copies/ml

Fig. 1. Correlation of viral load results obtained using Abbott HIV-1 RealTime PCR

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Please cite this article in press as: Paba, P., et al., Performance evaluation of the COBAS/TaqMan HIV-1 v2.0 in HIV-1 positive patients with low viral load: A comparative study. J. Virol. Methods (2011), doi:10.1016/j.jviromet.2011.03.014

ARTICLE IN PRESS

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VIRMET 11493 1–4

P. Paba et al. / Journal of Virological Methods xxx (2011) xxx–xxx 3

-1.00 -0.75 -0.50 -0.25 0.00 0.25 0.50 0.75 1.00 8.00 7.00 6.00 5.00 4.00 3.00 2.00 1.00 0.00

Mean of HIV-1 RNA levels measured by Roche and Abbott, log copies/ml D if fe re nc e be tw e e n H IV -1 R N A l e v e ls m e a s ur e d by R o c h e a n d A bbot t, l o g c o pi e s /m l

Fig. 2. Bland–Altman analysis of the samples tested by Abbott HIV-1 RealTime PCR and Cobas TaqMan HIV-1 v2.0.

subtype C, and 29 with subtype B. Based on the viral sub-types

124

distribution within the three groups of patients examined,

discor-125

dant results do not seem to be related to different viral subtypes

126

(Table 1).

127

Linear regression analysis carried out on the 33 samples

quan-128

tified by both systems showed a good correlation (r = 0.9691)

129

between the two assays as shown inFig. 1, although this result

130

could be biased by the low number of samples with high viremia

131

tested. Bland–Altman analysis showed a good agreement between

132

the two assays (Fig. 2).

133

Of the 17 discordant samples, negative by the Roche assay but

134

detected (<40 copies/ml) by the Abbott test, extra plasma of 9

sam-135

ples was available for further testing. The nested PCR targeting the

136

V3 region of the gp120 gene was negative on all samples tested,

137

confirming the result observed with the Roche assay.

138

4. Conclusions

139

Accurate determination of HIV-1 viral load is crucial for

eval-140

uating the response to treatment and the adherence to therapy.

141

Achieving low levels of viremia during antiretroviral treatment

pre-142

dicts a sustained virological response. For this reason, samples with

143

low viral load were selected and tested in parallel by two

commer-144

cial kits: the Cobas TaqMan HIV-1 v.2.0 and the Abbott RealTime

145

HIV-1 assay. Both assays are based on real-time PCR with a wide

146

dynamic range and high sensitivity. Overall, a good agreement was

147

found between the two test systems when considering the

sam-148

ples quantified within the dynamic range of both tests, although

149

this result is partly biased by the low number of samples with high

150

viremia tested. Bland–Altman analysis showed a good agreement

151

between the two methods. Of the samples tested, it is worth

not-152

ing that 30 samples not quantitated by the Abbott RealTime HIV-1

153

assay were quantitated by the Roche Cobas TaqMan HIV-1 v.2.0

154

(Table 1). The multiplex PCR approach of the Roche assay with the

155

amplification of two viral regions (LTR and gag gene) instead of

156

the amplification of one viral region (pol gene) as with Abbott may

157

explain this difference. The apparent under-quantitation of HIV-1

158

RNA levels observed in 14 samples (9 group I and 5 group II) with

159

the Abbott assay could also be attributed to the issue of primer

160

and probe binding polymorphisms as a result of genetic diversity

161

within different viral subtypes. The amplification of two viral

tar-162

gets in one reaction could increase the accuracy of the viral load

163

determination and the spectrum of quantifiable HIV-1 isolates.

164

Recent studies addressing the performance of the Roche and

165

Abbott HIV-1 real-time assays have detected an increasing number

166

of positive samples with viral load below the limit of quantitation 167

of both assays (Wirden et al., 2009; Sloma et al., 2009). Similar 168

results were reported in studies comparing the Cobas TaqMan HIV- 169

1 v.2.0 assay with the Cobas Amplicor assay (Lima et al., 2009; 170 Gatanaga et al., 2009) where several samples were detected but 171

not quantified by both assays. The clinical meaning of such findings 172

is still unclear. Some studies showed that these episodic low-level 173

viremias do not necessarily reflect the appearance of drug-resistant 174

strains or virological failure (Manavi, 2008; Smit et al., 2009), 175

while others hypothesized that these viremic blips are linked to 176

altered specimen-processing procedures (Rebeiro et al., 2008). Sim- 177

ilar results were obtained in this study where several samples were 178

below the limit of quantitation by both assays irrespective of the 179

viral subtype tested. 180

Finally, 17 samples positive by the Abbott assay but below the 181

limit of quantitation of the assay gave a negative result when tested 182

by Roche assay. This negative results were confirmed by an “in- 183

house nested” PCR when plasma was available for further testing. 184

Since all patients examined in this study were HIV-1 positive, arte- 185

facts due to cross-hybridization of primers/probe can be excluded. 186

It is conceivable that in some circumstances signal anomalies or 187

background noise may affect the lower-end precision of the Abbott 188

RealTime HIV-1 assay (Shain and Clemens, 2008). 189

In the light of these findings, virological follow-up should be 190

performed using the same assay and viremic blips should be inter- 191

preted with caution before changing therapy. A strict follow-up 192

may indicate whether there is a virological relapse or blip with no 193

impact on the ongoing antiviral therapy. Amplification of multiple 194

viral targets by real-time PCR represents an important step forward 195

for a virus with high genetic variability such as HIV-1. It should 196

improve the reliability and accuracy of the virological follow-up. 197

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routine clinical markers be used longitudinally to monitor antiretroviral therapy 200

success in resource-limited settings? Clin. Infect. Dis. 44, 135–138. 201

Di Mascio, M., Markowitz, M., Louie, M., Hurley, A., Hogan, C., Simon, V., Follmann, D., 202

Ho, D.D., Perelson, A.S., 2004. Dynamics of intermittent viremia during highly 203

active antiretroviral therapy in patients who initiate therapy during chronic 204

versus acute and early human immunodeficiency virus type 1 infection. J. Virol. 205

78, 10566–10573. 206

Gatanaga, H., Tsukada, K., Honda, H., Tanuma, J., Yazaki, H., Watanabe, T., Honda, 207

M., Teruya, K., Kikuchi, Y., Oka, S., 2009. Detection of HIV TYPE 1 LOAD BY THE 208

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by Roche Cobas Amplicor Monitor. Clin. Infect. Dis. 48, 260–262. 210

Gross, R., Bilker, W.B., Friedman, H.M., Strom, B.L., 2001. Effect of adherence to newly 211

antiretroviral therapy on plasma viral load. AIDS 15, 2109–2117. 212

Lima, V., Harrigan, R., Montaner, J.S., 2009. Increased reporting of detectable plasma 213

HIV-1 RNA levels at critical threshold of 50 copies per millilitre with the Taqman 214

assay in comparison to the Amplicor assay. J. Acquir. Immune Defic. Syndr. 51, 215

3–6. 216

Manavi, K., 2008. The significance of low-level plasma HIV viral load on Cobas Taq- 217

Man HIV-1 assays for patients with undetectable plasma viral load on COBAS 218

Amplicor monitor version 1.5. HIV Clin. Trials 9, 283–286. 219

Mellors, J.W., Mu ˜noz, A., Giorgi, J.V., Margolick, J.B., Tassoni, C.J., Gupta, P., Kingsley, 220

L.A., Todd, J.A., Saah, A.J., Detels, R., Phair, J.P., Rinaldo Jr., C.R., 1997. Plasma viral 221

load and cd4+ lymphocytes markers of HIV-1 infection. Ann. Intern. Med. 126, 222

946–954. 223

Peeters, M., Aghokeng, A.F., Delaporte, E.E., 2010. Genetic diversity among human 224

immunodeficiency virus-1 non-B subtypes in viral load and drug resistance 225

assays. Clin. Microbiol. Infect. 16, 1525–1531. 226

Pereyra, F., Palmer, S., Miura, T., Block, L.B., Wiegand, A., Rothchild, A.C., Baker, B., 227

Rosenberg, R., Cutrel, E., Seaman, M.S., Coffin, J.M., Walker, B.D., 2009. Persistent 228

low-level viremia in HIV-1 elite controllers and relationship to immunologic 229

parameters. J. Infect. Dis. 200, 984–990. 230

Peter, J.B., Sevall, J.S., 2004. Molecular-based methods for quantifying HIV viral load. 231

AIDS Patients Care STDS 18, 75–79. 232

Rebeiro, P.F., Kheshti, A., Bebawy, S.S., Stinnette, S.E., Erden, H., Tang, Y., Sterling, T.R., 233

Raffanti, S.P., D’Aquila, R.T., 2008. Increased detectability of plasma HIV-1 RNA 234

after introduction of a new assay and altered specimen-processing procedures. 235

Clin. Infect. Dis. 47, 1354–1357. 236

Shain, E.B., Clemens, J.M., 2008. A new method for robust quantitative and qualitative 237

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Please cite this article in press as: Paba, P., et al., Performance evaluation of the COBAS/TaqMan HIV-1 v2.0 in HIV-1 positive patients with low viral load: A comparative study. J. Virol. Methods (2011), doi:10.1016/j.jviromet.2011.03.014

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Sloma, C.R., Germer, J.J., Gerards, T.M., Madrekar, J.N., Mitchell, P.S., Yaho, J.D., 2009. 239

Comparison of the Abbott realtime human immunodeficiency virus type 1

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1) assay to the Cobas Ampliprep/Cobas TaqMan HIV-1 test: workflow, reliability,

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and direct costs. J. Clin. Microbiol. 47, 889–895.

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Smit, E., Bhattachrya, S., Osman, H., Taylor, S., 2009. Increased frequency of HIV-1

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viral load blip rate observed after switching from Roche Cobas Amplcor to Cobas

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Taqman assay. J. Acquir. Immune Defic. Syndr. 51, 364–365.

Wirden, M., Tubiana, R., Marguet, F., Leroy, I., Simon, A., Bonmarchand, M., Ait- 245

Arkoub, Z., Murphy, R., Marcelin, A.G., Katlama, C., Calvez, V., 2009. Impact of 246

discrepancies between the Abbott realtime and cobas TaqMan assays for quan- 247

tification of human immunodeficiency virus type 1 group M non-B subtypes. J. 248

Figura

Fig. 1. Correlation of viral load results obtained using Abbott HIV-1 RealTime PCR and Cobas TaqMan HIV-1 v2.0
Fig. 2. Bland–Altman analysis of the samples tested by Abbott HIV-1 RealTime PCR and Cobas TaqMan HIV-1 v2.0.

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