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Journal of Clinical Microbiology, April 2004, p. 1631-1636, Vol. 42, No. 4
0095-1137/04/$08.00+0 DOI: 10.1128/JCM.42.4.1631-1636.2004
Copyright © 2004, American Society for Microbiology. All Rights Reserved.
Departments of Medicine,1 Pathology,6 Epidemiology, Johns Hopkins Medical Institutions, Baltimore, Maryland,3 Southwest Hospital, Third Military Medical University, Chongqinq, People's Republic of China,2 Faculty of Medicine, Chiang Mai University, Chiang Mai,4 Thailand Ministry of Public Health, Nanthaigori, Thailand5
Received 30 September 2003/ Returned for modification 29 November 2003/ Accepted 5 December 2003
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9.7% (highest for 1.5 to 25 pg/ml). We also tested 204 specimens of the 820-specimen set for HCV RNA: while 146 (71.6%) were core Ag positive, 168 (82.4%) had detectable HCV RNA, of which 96% were typeable as genotype 3 (39%), 1 (31%), or 6 (26%) by nested reverse transcription-PCR. Among RNA-positive specimens, 86.9% had core Ag; 94% of the RNA negatives were core Ag negative. While there was no apparent bias for detecting core Ag representing the tested genotypes, median quantified results were higher for types 1a and 6 than for genotype 3 (P = 0.01); similarly, the median core Ag concentration was higher in HCV-human immunodeficiency virus-coinfected subjects than in HCV-monoinfected subjects. Our results demonstrated a good correlation between core Ag and HCV RNA in this population with high frequencies of genotypes 3 and 6. Because most core Ag concentrations were greater than those in the measurable range, we recommend a 10-fold dilution of the specimen before quantification. Reproducibility, low technical requirements, and high throughput should make this assay useful for clinical or research monitoring of HCV levels during active infection. |
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The principal means of diagnosing HCV infection is by use of an enzyme-linked immunosorbent assay (ELISA) to detect anti-HCV antibodies in blood (2, 15). Supplemental testing is required to prove that the ELISA is not falsely reactive and to determine if the infection is ongoing or resolved. Whereas supplemental antibody tests (i.e., strip immunoassays) can be used to identify false-positive ELISA results, only the direct detection of viral RNA or antigen differentiates ongoing from resolved infections. Among direct detection tests, those that measure the quantity of RNA (or possibly antigen) can also be used to evaluate the likelihood of response to treatment and to monitor the treatment response (6, 13, 17). However, HCV RNA tests are technologically difficult and thus not practical for common use worldwide.
Recently, a test (trak-C; Ortho Clinical Diagnostics, Raritan, N.J.) was commercially developed to detect HCV core antigen (core Ag). Because this assay uses a standard ELISA format and is easy to perform, it might serve a worldwide role in HCV diagnostics. We evaluated its performance by studying specimens from a large population of injection drug users in northern Thailand, a setting with multiple HCV genotypes. We assessed the specificity and sensitivity of the core Ag assay by testing a subset of these samples with assays for HCV RNA and genotype.
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Core Ag assay. HCV core Ag was detected or quantified by use of the trak-C assay performed according to the manufacturer's instructions.
HCV RNA assays. (i) Qualitative. To detect HCV RNA, we used the COBAS AMPLICOR HCV test version 2.0 (Roche Molecular Systems, Branchburg, N.J.) according to the manufacturer's instructions. This assay has a limit of detection of 2.0 log10 IU of HCV genotype 1 RNA per ml of serum.
(ii) Quantitative. To determine the concentration of HCV RNA in serum, we used a quantitative reverse transcription (RT)-PCR assay (COBAS AMPLICOR HCV MONITOR version 2.0; Roche Molecular Systems) according to the manufacturer's protocols. This assay has a lower limit of quantitation of 2.78 log10 IU/ml.
Genotyping. Samples were genotyped by direct sequencing of RT-PCR products representing core- and E1-encoding regions (C/E1) of the HCV genome. For most RT-PCRs, we used RNA extracts prepared for the Roche qualitative assay. Otherwise, RNA was extracted from serum (100 µl) with the QIAamp viral RNA mini kit (QIAGEN, Valencia, Calif.) as per the manufacturer's recommendation, except that the serum volume was adjusted with phosphate-buffered saline (pH 7.4) to 140 µl before extraction. RT and first-round PCR were performed together with a 50-µl reaction volume containing 10 µl RNA, 1x PCR buffer, 0.4 µM forward (493S_H77, 5'-GCAACAGGGAACCTTCCTGGTTGCTC-3') and 0.4 µM reverse (987R_H77, 5'-CGTAGGGGACCAGTTCATCATCAT-3') primers (18), 0.2 mM deoxynucleoside triphosphates, 1.5 mM MgCl2, 10 U of RNase inhibitor (RNaseOUT), 80 U of Moloney murine leukemia virus reverse transcriptase, and 1.5 U of Platinum Taq polymerase. All reagents and enzymes were purchased from Invitrogen (Carlsbad, Calif.). This reaction was incubated at 42°C for 40 min; 94°C for 2 min; 30 cycles of 94°C for 15 s, 60°C for 15 s, and 72°C for 30 s; and 72°C for 5 min. The second round of PCR was performed with 2 µl of first-round product in a 50-µl reaction volume containing the same PCR components as those contained in the first round except for the Moloney murine leukemia virus reverse transcriptase and primers. Primers for second-round amplification were forward (502S_H77, 5'-AACCTTCCTGGTTGCTCTTTCTCTAT-3') and reverse (975R_H77, 5'-GTTCATCATCATATCCCATGCCAT-3'). Second-round incubation conditions were the same as those in the first round, excluding the RT (42°C) step. Products were analyzed by electrophoresis in a 1.5% agarose gel stained with ethidium bromide. PCR products were purified with QIAquick PCR purification kits (QIAGEN) prior to sequencing.
Sequencing and phylogenetic analysis. Nucleotide sequences of purified PCR amplicons were determined by use of a PRISM version 3100 automated sequencer (ABI, Foster City, Calif.). Primer sequences were removed prior to analysis. Sequences were assembled and analyzed by using BioEdit version 5.0.9 (Tom Hall; available from the author at http://www.mbio.ncsu.edu/BioEdit/bioedit.html) and aligned by using ClustalX version 1.83 (9). Phylogenetic trees were inferred using algorithms from the DNADIST, NEIGHBOR, SEQBOOT, and CONSENSE programs in the PHYLIP suite version 3.5p (5) and implemented in Nimble Tree version 2.5 (S. Ray; available from the author at http://sray.med.som.jhmi.edu/RaySoft). After distance matrices under the F84 model were calculated, the neighbor-joining algorithm (20) was used to infer trees, which were rendered with TreeView (14, 23).
Statistical analysis. The nonparametric Kruskal-Wallis test was utilized to test for differences in core Ag concentrations among different genotypes. For comparison of core Ag concentrations in HCV-monoinfected subjects and HCV-HIV-coinfected subjects, the nonparametric Mann-Whitney test was utilized. Coefficient of variation (CV) was used as a measure of core Ag assay precision.
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Core Ag in anti-HCV-positive specimens. We tested 820 specimens with the trak-C assay, 629 (76.7%) of which yielded positive results (Table 1). Among the core Ag-positive samples, 223 (35.7%) had results within the stated measurable range of 1.5 to 100 pg/ml. Most (64.4%) core Ag concentrations were outside the measurable range: 39 (6.2%) were below the lower limit of quantitation, and 367 (58.2%) were above the upper limit of quantitation. Table 2 includes proportions of the 630 positive results that were within the HCV core Ag concentration ranges of 1.5 to 25, 26 to 50, 51 to 75, and 76 to 100 pg/ml and those represented by two ranges above the measurable range (101 to 125 and 126 to 150 pg/ml).
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TABLE 1. Direct detection of HCV in serum specimens from Thai subjects with antibodies to HCV
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TABLE 2. Run-to-run precision: stratified by ranges of HCV core antigen assay concentrationa
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To characterize the interassay precision of external controls and core Ag calibrators, we calculated the CVs for these reagents over 11 runs conducted by one operator over 11 days (Tables 3 and 4). Over these 11 runs, the plate validity criteria were met, and the mean linear squared regression (r2) value was 0.99. The CVs for the low- and high-positive controls, respectively, were 14.34 and 6.51% (Table 3). Analysis of interassay CV of core Ag calibrators ranged from 0.71 to 42.6%. The highest CV was 42.6% for the 1.5-pg/ml calibrator, and it should be noted that the calculated mean core Ag concentration of this calibrator was >50% off from the projected value (Table 4).
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TABLE 3. Characterization of core Ag external controls over 11 runsa
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TABLE 4. Characterization of core Ag calibrators over 11 runs
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TABLE 5. Dilution analysis of five samples with HCV core Ag concentrations greater than upper limit of quantitation
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TABLE 6. Detection of HCV core Ag and HCV RNA in 204 specimens selected for HCV RNA testing
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TABLE 7. Analysis of specimens negative for HCV Core Ag and positive for HCV RNA: HCV RNA concentrations and genotypes
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Correlation of HCV genotype with core Ag data. We correlated genotyping data with core Ag results (Table 8). Among the 168 HCV RNA-positive samples, 161 were typeable. Genotype 3 was the most prevalent (39% of samples), followed by genotypes 1 (31%) and 6 (26%). The order of subtype prevalence was 3a (25%), 1a (22%), 3b (14.3%), and 1b (8.9%). It should be noted, however, that we included unclassified subtypes (such as 7c, 9b, and 9c) with genotype 6 (14, 22). This type distribution is consistent with previously reported data for this population and region of Thailand (4, 8, 10, 26). In addition, higher concentrations of core Ag were observed for persons who had type 1a or 6 than those with other genotypes (P = 0.01) (Table 8).
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TABLE 8. Ranges of HCV core Ag concentrations among 168 samples containing HCV RNA, stratified by genotype and subtype
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Core Ag and HCV-HIV coinfection. It has been reported that HCV RNA levels are higher in HCV-HIV-coinfected individuals than in HCV-monoinfected individuals (24, 25). Therefore, we analyzed median core Ag concentrations among mono- and coinfected subjects to determine if core Ag levels differed. Of 820 HCV antibody-positive subjects, 306 (37.2%) were HIV positive, 514 (62.5%) were HIV negative, and 2 (0.24%) had unknown HIV status. Median core Ag concentrations in HCV-HIV-coinfected subjects were significantly higher (P < 0.01) than those in HCV-monoinfected subjects (Table 9).
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TABLE 9. Comparison of HCV core Ag concentrations among 820 specimens, stratified by HIV infection statusa
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In this study, we evaluated the trak-C assay, which has low technical requirements (standard ELISA format), allows high throughput (86 specimens/run), and is relatively inexpensive (compared to RNA assays). This assay reliably detected HCV core Ag in serum. In addition, several other aspects of this study are noteworthy. Correlation was good (88.2%) between qualitative detection of core Ag and HCV RNA. Core Ag- and RNA-negative results likely represented subjects with resolved HCV infection. Discrepancies between the assays were due primarily to sensitivity differences. While the Roche qualitative HCV RNA assay's limit of detection is 2.0 log10 IU/ml, that of the core Ag assay is 1.5 pg/ml; the latter concentration corresponds to 4.1 log10 IU/ml (3) or 5.1 log10 IU/ml, if one assumes the presence of 1.8 virions per IU (21) and 180 core molecules per virion. The assay also was reliable across the unique distribution of genotypes (1, 3, and 6 being roughly equally distributed) in this cohort.
In this study, the core Ag assay was precise across most of the measurable range. The mean CV ranged from 1.67 to 9.74%, which confirmed the precision of the assay across the measurable range of core Ag concentrations and up to 150 pg/ml. Precision was lower for lesser concentrations of Core Ag (Table 2, samples with 1.5 to 25 pg/ml; Table 3, low positive control; and Table 4, calibrators (containing 1.5 and 5 pg/ml). These results suggest that precision may be suboptimal at the lower end of the measurable range and that a more sensitive quantitative RNA assay should be used to accurately determine viral load in pertinent specimens.
There were some limitations of the assay, chiefly having to do with both ends of the measurable range. We detected HCV RNA in 39% of samples that were core Ag negative. This lower sensitivity may preclude widespread use of the assay for confirmation of anti-HCV-positive ELISA results unless core Ag-negative results are routinely followed by testing for HCV RNA. In most cases, the discrepancy seemed to be due to low concentrations of viral RNA. In addition, the majority of specimens had core Ag concentrations above the measurable range of the assay. We therefore suggest that when anti-HCV-positive specimens are tested, a 10-fold dilution be assayed first, followed by testing of an undiluted aliquot of any specimen that yields a negative result.
Because it has been reported that HCV RNA levels are higher in HIV-coinfected individuals (24, 25), we hypothesized that analogous results would be found in core Ag levels. In fact, we found that median core Ag concentrations were significantly higher (2.5-fold) in coinfected subjects. We must stress, however, that our analysis included Core Ag values that were outside the measurable range of the assay and therefore not accurately quantified.
Several potential uses of the trak-C assay in monitoring HCV infection have recently been described (3, 11, 12, 28, 31). Because of the low technical requirements and high throughput of this assay compared to those of RNA assays, we believe its performance is promising for monitoring HCV levels during active infection in a clinical or research mode.
We thank Stuart Ray for assistance and advice with phylogenetic analysis of the genotype data. We thank James Streett of Ortho Clinical Diagnostics for donating trak-C reagents and equipment for performing the assay.
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in chronic hepatitis C. J. Infect. Dis. 174:1-7.[Medline]
2b plus ribavirin for 48 weeks or for 24 weeks versus interferon
2b plus placebo for 48 weeks for treatment of chronic infection with hepatitis C virus. Lancet 352:1426-1432.[CrossRef][Medline]
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