The proportion of women whose avidity assay result remained <40% was 0% (0/82) for subtype A (Fig. 2A) and 6% (2/32) for subtype D infection (Fig. 2B) during the first year after seroconversion (P = 0.084); the avidity assay result rose above 40% for all women by 2 years after seroconversion (Table 2). The proportion of women whose avidity result did not rise above 90% after seroconversion was lower for women with subtype A than for women with subtype D [within 1 year: 17% (14/82) vs. 56% (18/32), P < 0.01; within 2 years: 0% (0/82) vs. 34% (11/32), P < 0.01]. Over the entire follow-up period (median follow-up, 5.9 years), none of the women with subtype A and 19% (6/32) of women with subtype D infection never attained an avidity result >90%.
Regression in antibody response was defined by a decrease of >20% in the BED-CEIA or avidity results compared with the maximum value obtained for the same women at an earlier study visit. Antibody regression was observed for 40 women using the BED-CEIA and for 3 women using the avidity assay. For both the assays, regression was more common for the subtype D-infected women for the BED-CEIA: 33% (27/82) for subtype A vs. 41% (13/32) for subtype D, P = 0.51; and for the avidity assay: 11% (1/82) for subtype A vs. 6% (2/32) for subtype D, P = 0.19 (Table 2). Antibody regression was associated with ART initiation. In this cohort of women, 24 women with subtype A and 14 women with subtype D infection initiated ART during the follow-up. Among the women with subtype A who initiated ART, 63% (15/24) saw regression in the BED-CEIA values, whereas none of these women saw a decrease in avidity values. For the 14 women with subtype D initiating ART, 79% (11/14) had regression in their BED-CEA and 21% (3/14) had regression in their avidity values. The timing of ART initiation was also associated with the antibody regression. The proportion of women who had antibody regression measured with the BED-CEIA was higher for those who started ART >3 years after seroconversion [78% (22/26)] than for those who started ART earlier [15% (4/26), (P < 0.01)]. In contrast, there was no significant difference in antibody regression measured with the avidity assay among women who started ART less than vs. more than 3 years after seroconversion [50% (1/2) for both the groups]. Some women with subtype A infection [8% (2/24)] had increasing BED-CEIA values after starting ART; in contrast, none of the women had increasing avidity values after starting ART [0% (0/24)].
Because ART treatment can confound the impact of subtype on the regression of response as measured by the BED-CEIA and avidity assay, we performed an analysis that was limited to those who were never treated. Individuals who were never treated displayed similar progression trends as those presented in Table 2. One individual with subtype A infection and 1 individual with subtype D infection demonstrated antibody regression by the avidity assay (with AI < 40% and AI < 90%, respectively). The proportion of individuals who had a regression of BED-CEIA values was higher for individuals with subtype A compared with subtype D infection; however, this difference was not statistically significant (12/58 = 21% vs. 2/18 = 11%, respectively; P = 0.36). Among individuals who had a regression in BED-CEIA values (both on ART and not on ART), a higher proportion of nontreated individuals with subtype A had regression compared with those with subtype D infection; this difference was of borderline significance (12/27 = 44% vs. 2/13 = 15%, respectively; P = 0.07). When this analysis was restricted to individuals on ART, there was no significant difference in regression of the BED-CEIA values obtained for those with subtype A vs. D infection (15/24 = 63% vs. 11/14 = 79%, respectively, P = 0.30). In contrast, a difference of borderline statistical significance was observed for the avidity assay for these 2 groups (0.24 = 0% vs. 2/14 = 14%, respectively; P = 0.057).
Overall, 17.6% (319/1814) of the samples from women more than 2 years after seroconversion had BED-CEIA values <0.8 OD-n; in contrast, only 3.0% (55/1814) had avidity assays <40% and only 3.9% (70/1814) had avidity values <90% in this time frame.
The following factors were associated with false-recent misclassification using the BED-CEIA in univariate analysis (Table 3 and Table S1, Supplemental Digital Content, http://links.lww.com/QAI/A472): CD4 cell count < 200 cells per microliter (P < 0.05); missing CD4 data (P < 0.05); viral load < 400 copies per milliliter (P < 0.01); and on ART < 1 year (P < 0.01). In a multivariate model, false-recent misclassification was associated with missing CD4 cell count data (P < 0.05) and on ART < 1 year (P < 0.01) and on ART > 1 year (P < 0.01). In a multivariate model, false-recent misclassification using the avidity assay was associated with the duration of infection (48–72 months, P < 0.01) and HIV subtype (P < 0.05). We compared results obtained using the BED-CEIA and avidity assays. False-recent misclassification with the BED-CEIA was seen in 17.3% (305/1759) samples that had avidity assay results >40% and in 25.5% (14/55) samples with avidity assay results <40%; this difference was not statistically significant.
For samples collected more than 2 years after seroconversion and stratified by subtype, 0.0% (0/1256) samples from individuals with subtype A infection were misclassified by the avidity assay, compared with 9.9% (55/558) samples from individuals with subtype D infection (P < 0.001; Table S1, Supplemental Digital Content, http://links.lww.com/QAI/A472). Similar differences were observed for the BED-CEIA 15.5% (195/1256) samples from individuals with subtype A infection were misclassified compared with 22.2% (124/558) samples from individuals with subtype D infection (P < 0.001).
There were 157 samples (95 subtype A and 65 subtype D) that did not have CD4 cell count data associated with them. Ninety-two (62 subtype A and 30 subtype D) of those samples were collected at a time point early in infection (median 110 days after seroconversion) from women who were not on ART. Eighty-six percent [79 (56 subtype A and 23 subtype D)/92] samples was misclassified by the BED-CEIA, 46% [42 (31 subtype A and 11 subtype D)/92] misclassified by the avidity assay, and 95% (40/42) of samples that misclassified by the avidity assay was misclassified by the BED-CEIA. Two samples both subtype D infected of the remaining 65 samples were collected early in infection (<2 years) and on ART. Both the samples were misclassified by the BED-CEIA and neither misclassified by an AI cutoff of 40%. The remaining 63 (33 subtype A and 30 subtype D) samples were collected later in infection (>2 years), and 76% (48/63) were recently placed on ART (median, 28 days). Eight percent (5/63) was misclassified by the BED-CEIA all subtype D and 10% (6/63) misclassified by an AI cutoff <40% all of which were subtype D. No sample that was misclassified by the avidity assay was misclassified by the BED-CEIA.
Previous studies in other cohorts have demonstrated that individuals with long-standing subtype D HIV infection often have low levels of anti-HIV antibodies detected with serologic HIV incidence assays.14,18 This type of false-recent misclassification lowers the precision of these assays for HIV incidence estimation in populations where subtype D is prevalent. This report investigated the biologic basis for false-recent misclassification in adults with subtype D infection by evaluating antibody maturation and antibody regression in a cohort of women with subtypes A and D infection. We found that differences in the performance of the BED-CEIA and avidity assays in these 2 subtypes reflect a weaker initial antibody response to HIV infection in those with subtype D infection. We did not see a significant difference in antibody regression (decline in BED-CEIA and avidity assay results) in these 2 subtypes. For both the subtypes, antibody regression was associated with the initiation of ART and duration of treatment.
A longer time on ART was associated with lower OD-n by the BED-CEIA but not a lower AI by the avidity assay because of the nature of the assay. The BED-CEIA measures the proportion of IgG antibody that is directed to an immunodominant region of gp41. When the level of circulating HIV antigens decreases (with viral suppression) antibody production may be downregulated, and the titers of anti-HIV antibodies may fall. This decrease in antibody titers may result in lower BED-CEIA values.13,14,31 In contrast, the avidity assay measures the strength of antibody binding to target antigens in the presence of a chaotropic agent. A decrease in the amount of circulating antigen would not necessarily impact antibody avidity and is, therefore, less likely to impact the results obtained with an avidity assay. A previous study demonstrated a lack of impact of decreasing antigen (as measured by decreasing HIV viral load) on the avidity assay used in this report.31
In a previous study of individuals from the Rakai Community Cohort Study (RCCS), we observed more frequent false-recent misclassification among women with subtype D compared with women with subtype A; this association was not observed for men with these subtypes.18 In this report, we extended that study by showing that 9% women with subtype D infection did not attain a mature antibody response even after many years of infection; this failure of antibody maturation was uncommon in women with subtype A infection. This study also extends our previous study of the RCCS, because the GS cohort analyzed in this report included women who initiated ART during the study follow-up. In the GS cohort, women with subtype D were less likely to attain BED-CEIA values above the assay cutoff; this indicates that they maintained low levels of HIV-specific IgG in their serum, even years after seroconversion.22 BED-CEIA values also declined over time in more women with subtype D than in those with subtype A; this effect, which we refer to as antibody regression, was associated with ART use.
The findings in this report support the use of multiassay algorithms (MAAs) for cross-sectional HIV incidence estimation.22 The performance of MAAs is likely to be improved when they include 2 serologic assays that measure different features of the immune response to HIV infection; in this study, false-recent misclassification by the BED-CEIA and avidity assay was not associated.22 In this report, low CD4 cell count and duration of time on ART were associated with misclassification by the BED-CEIA. Use of ART for more than 1 year doubled the frequency of false-recent misclassification by the BED-CEIA; the duration of ART was also associated with false-recent misclassification by the BED-CEIA in previous studies.14,32 Inclusion of nonserologic biomarkers in MAAs, such as CD4 cell count and HIV viral load, may further reduce the frequency of false-recent misclassification.14 For both the subtypes A and D, the performance of the avidity assay was superior to that of the BED-CEIA.
The high prevalence of subtype D HIV infections in Uganda likely explains the high frequency of false-recent misclassification observed with serologic incidence assays in populations from Eastern Africa.14 Our results suggest that even higher frequencies of false-recent misclassification will be observed as ART use increases in those populations. Increasing ART use may limit the utility of serologic HIV incidence assays in populations where subtype D is prevalent, even where those assays are used in parallel or in serial testing algorithms.18 Although these findings reveal differences in the immune responses to HIV infection in individuals with subtypes A and D infection, further experiments are needed to determine if these differences are specific to the 2 incidence assays used in this study or are more general in nature. To evaluate whether the antibody responses are generally weaker in individuals with subtype D infection, it would be necessary to evaluate the antibody responses to a broader spectrum of HIV antigens and to evaluate other features of the humoral immune response to HIV infection (eg, antibody neutralization and antibody isotype).
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