Paired serial limiting dilution assays.

Serial limiting dilution (SLD) assays are a widely used tool in many areas of public health research to measure the concentration of target entities. This concentration can be estimated via maximum likelihood. Asymptotic as well as exact inference methods have been proposed for hypothesis testing and confidence interval construction in this one-sample problem. However, in many scientific applications, it may be of interest to compare the concentration of target entities between a pair of samples and construct valid confidence intervals for the difference in concentrations. In this paper, an exact, computationally efficient inferential procedure is proposed for hypothesis testing and confidence interval construction in the two-sample SLD assay problem. The proposed exact method is compared to an approach based on asymptotic approximations in simulation studies. The methods are illustrated using data from the University of North Carolina HIV Cure Center.

Precise and accurate power of the rank-sum test for a continuous outcome.

Accurate power calculations are essential in small studies containing expensive experimental units or high-stakes exposures. Herein, power of the Wilcoxon Mann-Whitney rank-sum test of a continuous outcome is formulated using a Monte Carlo approach and defining [Formula: see text] as a measure of effect size, where [Formula: see text] and [Formula: see text] denote random observations from two distributions hypothesized to be equal under the null. Effect size [Formula: see text] fosters productive communications because researchers understand [Formula: see text] is analogous to a fair coin toss, and [Formula: see text] near 0 or 1 represents a large effect. This approach is feasible even without background data. Simulations were conducted comparing the empirical power approach to existing approaches by Rosner & Glynn, Shieh and colleagues, Noether, and O'Brien-Castelloe. Approximations by Noether and O'Brien-Castelloe are shown to be inaccurate for small sample sizes. The Rosner & Glynn and Shieh, Jan & Randles approaches performed well in many small sample scenarios, though both are restricted to location-shift alternatives and neither approach is theoretically justified for small samples. The empirical method is recommended and available in the R package wmwpow.

Measuring the contribution of γδ T cells to the persistent HIV reservoir.

OBJECTIVE: To study the contribution of γδ T cells to the persistent HIV reservoir. DESIGN: Fifteen HIV-seropositive individuals on suppressive ART were included. We performed parallel quantitative viral outgrowth assays (QVOA) of resting CD4 T (rCD4) cells in the presence or absence of γδ T cells. METHODS: Resting αß+CD4 T cells were magnetically isolated from PBMCs using two different custom cocktails, only one kit contained antibodies to deplete γδ T cells, resulting in two populations: rCD4 cells and rCD4 cells depleted of γδ cells. Frequency of infection was analyzed by QVOA and DNA measurements. RESULTS: Recovery of replication-competent HIV from cultures of rCD4 cells was similar in 11 individuals despite the presence of γδ T cells. In four donors, HIV recovery was lower when γδ T cells were present. Expression of the cytotoxic marker CD16 on Vδ2 cells was the only variable associated with the lower HIV recovery. Our results highlight the potency of those responses since a mean of 10 000 γδ T cells were present within 2.5 million rCD4 cells. However, despite the low frequency of γδ T cells, the presence of cytotoxic Vδ2 cells correlated with lower HIV recovery from cultures of rCD4 cells. CONCLUSION: Results of this study show that quantification of the contribution of γδ T cells to the reservoir is challenging because of their low numbers compared with conventional rCD4 cells and highlights the potent antiviral function of γδ T cells and the impact of their presence on the frequency of latent HIV infection.

Reported Participation Benefits in International HIV Prevention Research with People Who Inject Drugs.

Given ethical concerns about research involving people who inject drugs and those affected by HIV, identifying potential participation benefits is important. We evaluated participant-reported benefits in a trial conducted in Indonesia, Ukraine, and Vietnam that assessed an intervention combining psychosocial counseling and referral for antiretroviral therapy and substance use treatment for HIV-infected people who use drugs. Reported benefits were aggregated into three groups: clinical (antiretroviral therapy, reduced cravings, reduced drug use, lab testing, medical referral, mental health, physical health), social (employment, financial, relationships, reduced stigma), and general (gained knowledge, life improvement). Overall, 438 index participants (90.5%) and 642 injection partners (83.1%) reported at least one benefit. Significantly more index participants who received the study intervention reported at least one benefit versus those who received the standard of care. Clinical trial participation can provide broad direct and indirect benefits for stigmatized populations, which has implications for assessing the ethical appropriateness of studies with such populations.

HIV-Specific T Cell Responses Are Highly Stable on Antiretroviral Therapy.

HIV infection induces a robust T cell response that is sustained by high viremia, but falls following the onset of antiretroviral therapy (ART). Relatively little has been reported on the subsequent stability of the HIV-specific T cell response in individuals on durable therapy. Such data are critical for powering clinical trials testing T cell-based immunotherapies. In a cross-sectional study, HIV-specific T cell responses were detectable by ex vivo interferon (IFN)-γ ELISpot (average ∼1,100 spot-forming units [SFUs]/106 peripheral blood mononuclear cells) in persons living with HIV (PLWH; n = 34), despite median durable ART suppression of 5.0 years. No substantial association was detected between the summed HIV-specific T cell response and the size of the replication-competent HIV reservoir. T cell responses were next measured in participants sampled weekly, monthly, or yearly. HIV-specific T cell responses were highly stable over the time periods examined; within-individual variation ranged from 16% coefficient of variation (CV) for weekly to 27% CV for yearly sampling. These data were used to generate power calculations for future immunotherapy studies. The stability of the HIV-specific T cell response in suppressed PLWH will enable powered studies of small sizes (e.g., n = 6-12), facilitating rapid and iterative testing for T cell-based immunotherapies against HIV.

SLDAssay: A software package and web tool for analyzing limiting dilution assays.

Serial limiting dilution (SLD) assays are used in many areas of infectious disease related research. This paper presents SLDAssay, a free and publicly available R software package and web tool for analyzing data from SLD assays. SLDAssay computes the maximum likelihood estimate (MLE) for the concentration of target cells, with corresponding exact and asymptotic confidence intervals. Exact and asymptotic goodness of fit p-values, and a bias-corrected (BC) MLE are also provided. No other publicly available software currently implements the BC MLE or the exact methods. For validation of SLDAssay, results from Myers et al. (1994) are replicated. Simulations demonstrate the BC MLE is less biased than the MLE. Additionally, simulations demonstrate that exact methods tend to give better confidence interval coverage and goodness-of-fit tests with lower type I error than the asymptotic methods. Additional advantages of using exact methods are also discussed.