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The T cell receptor Vβ repertoire shows little change during treatment interruption-related viral rebound in chronic HIV infection

2002· article· en· W2332453515 on OpenAlexaffabout
Michael D. Grant, I. U. Pardoe, Mark Whaley, Julio Montaner, P. Richard Harrigan

Bibliographic record

VenueAIDS · 2002
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsAIDS VancouverMemorial University of Newfoundland
Fundersnot available
KeywordsT-cell receptorRepertoireBiologyImmunologyImmune systemViral replicationViral loadVirusVirologyT cell

Abstract

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In this study, changes in plasma virus load, peripheral blood CD4 T cell counts and the T cell repertoire were assessed in eight chronically HIV-infected individuals suspending antiretroviral therapy. Despite rapid increases in virus load and substantial CD4 T cell losses during treatment interruption, no marked changes in the T cell receptor β chain repertoire were observed. The magnitude of associated T cell repertoire perturbation thus contrasts with that observed during primary HIV infection. During primary HIV infection, the activation and expansion of HIV-specific T cells globally affects the T cell receptor (TCR) repertoire at the level of relative representation of individual TCRβ variable (V) chain gene families [1,2]. The extent of TCR repertoire perturbation signifies the strength of the anti-HIV T cell response; however, moderate perturbations within multiple TCRβV gene families predict a more benign subsequent disease course than do severe perturbations within fewer TCRβV families [2]. This general association suggests that a more diverse anti-HIV T cell response provides for a more effective and lasting immune suppression of HIV replication. The residual significance of this relationship between the immune response and disease course, now that effective suppression of HIV replication is often mediated by highly active antiretroviral therapy, is largely unknown. In this study, our objectives were to determine whether TCR repertoire perturbations were detectable at the level of relative TCRβV gene family representation during treatment interruption, and if so, whether, as in primary HIV infection, the pattern of TCR repertoire perturbation relates to the nature of the subsequent changes in virus load or CD4 T cell counts. Serial blood samples in the days after treatment interruption were collected from eight chronically HIV-infected individuals electing to suspend antiretroviral treatment for various reasons. Plasma HIV RNA was measured by Roche HIV-1 Amplicor Ultra direct assay (Roche Molecular Systems, Laval, Quebec, Canada) and peripheral blood CD4 T cell counts were measured at the time of treatment suspension and at regular intervals thereafter. Relative TCRβV gene family representation was assessed as previously described by semi-quantitative reverse transcriptase–polymerase chain reaction of RNA extracted from peripheral blood mononuclear cells (PBMC) collected at the time of treatment suspension and at least one timepoint approximately 1 month later [3]. Briefly, RNA was extracted from PBMC using Trizol (Gibco BRL, Burlington, Ontario, Canada) and complementary DNA was synthesized using a first-strand cDNA kit (Pharmacia Biotech Inc., Baie d'Urfe, Quebec, Canada). The equivalent of 1 μg RNA was split into 24 PCR mixtures, each incorporating one of 24 TCRβV gene family-specific primers, a common Cβ primer and a pair of Cα primers for an internal positive control (primers as in Choi et al. [4]). Reactions were run in 50 μl for 30 cycles under standard conditions, and products were separated on 2% agarose gels. Digital image analysis, using [email protected] software, was used to quantitate TCRβV band intensities, and these were expressed as a fraction of the internal control Cα band intensity to compare relative expression levels of individual TCRβV families before and after treatment interruption. The eight individuals electing to suspend antiretroviral therapy displayed highly variable patterns of changing plasma virus load and CD4 T cell counts once treatment stopped (Fig. 1). In three cases (subjects 2, 12 and 15), there was a steady increase in plasma virus load after stopping therapy, although this was associated with a sharp, sustained fall in CD4 T cell counts in only one case (subject 12) within this short time frame (Fig. 1b). In another three cases (subjects 3, 4 and 7), plasma virus load peaked and then fell, in a pattern similar to that associated with the development of anti-HIV immunity in primary infection. In the other two cases (subjects 11 and 17), plasma virus load fluctuated within a fairly moderate range after treatment interruption (Fig. 1a). None of these three patterns of viral rebound was associated with a distinct pattern of changes in the TCR repertoire. In fact, none of the eight cases of treatment interruption produced marked changes in the peripheral blood TCR repertoire. The most substantive changes we observed during treatment interruption were reductions in the level of several TCRβV families. In the PBMC of subject 3, TCRβV2 decreased from 9 to 5.7% over 15 days of treatment interruption, whereas in the PBMC of subject 12, TCRβV2 and TCRβV13 decreased from 13 to 8.5% and from 11.3 to 6.1%, respectively, over 29 days of treatment interruption (Fig. 2). The largest expansion we observed was an increase in TCRβV6 in the PBMC of subject 15 from 4.5 to 8% over 63 days of treatment interruption (Fig. 2). In contrast, individual TCRβV families expanded to constitute as much as 40% of the peripheral blood T cell repertoire in six cases of acute symptomatic HIV infection, and a more comprehensive study revealed at least twofold expansions of one or more TCRβV families in 16 out of 21 individuals with symptomatic primary HIV infection [1,2]. The sum of such expansions within particular TCRβV families indicated that 16–38% of peripheral blood T cells were potentially involved in the primary immune response to HIV infection [2].Fig. 1.: (a) Changes in plasma virus load and (b) number of CD4 T lymphocytes/μl peripheral blood for eight HIV-infected individuals after treatment interruption at day 0. The T cell receptor (TCR) β variable (V) repertoire was analysed at day 0 and at timepoints indicated with an arrow (b). The TCRβV repertoire was analysed at day 0 and day 22 after treatment interruption for subject 7, at which time CD4 T cell counts were not available. (a) ––□–– 2 Viral loads (VL); uu.uu.uu.uu.⋄uu.uu.uu.uu. 3 VL; – ○ – 4 VL; - - - ▪ - - - 11 VL; -uu.-uu.-♦-uu.-uu.- 12 VL; ––•–– 15 VL; - - ▴ - - 17 VL. (b) ––□–– 2 CD4 cell counts; uu.uu.uu.uu.⋄uu.uu.uu.uu. 3 CD4 cell counts; - - - ○ - - - 4 CD4 cell counts; - - - ▵ - - - 7 CD4 cell counts; - - -▪- - - 11 CD4 cell counts; -uu.-uu.-♦-uu.-uu.- 12 CD4 cell counts; - - -•- - - 15 CD4 cell counts; - - ▴ - - 17 CD4 cell counts.Fig. 2.: Changes in the levels of 24 T cell receptor β variable families are shown for eight HIV-infected individuals, numbered 2, 3, 4, 7, 11, 12, 15 and 17, who opted to stop antiretroviral therapy. Levels of the T cell receptor β variable families are shown for each individual immediately before treatment interruption (open bars) and approximately 1 month later (solid bars).The absence of marked changes in the T cell repertoire during viral rebound, as assessed using our methodology, does not mean that no meaningful anti-HIV T cell response occurred. In cases of an early rise and subsequent fall in plasma virus load, the fall was most likely mediated by the reactivation of anti-HIV immune effector cells. However, there are several plausible reasons why the immune response during viral rebound would be weaker than the immune response during primary infection. Recent studies of seroconverters [5,6] suggested that without antiretroviral therapy during primary infection, T cell clones activated by HIV often undergo clonal deletion and thus are unavailable for secondary activation during viral rebound. Similarly, HIV-specific T cells may fail to enter the long-term memory compartment and quickly disappear once effective antiretroviral treatment reduces antigenic stimulation below the threshold required for the ongoing recruitment and activation of effector cells [7]. Assuming a hierarchy among responding T cells based on precursor frequency or replicative fitness, new responses occurring during viral rebound would be weaker than those made during primary infection if the original responding cells had been eliminated. It is also possible that the cumulative immunological defects caused by HIV infection, including effects on T cells, antigen presenting cells and the cytokine milieu, preclude strong secondary or de-novo immune responses during viral rebound. A fourth possible reason for the absence of marked changes in individual TCRβV families during treatment interruption is that the diversification of the T cell response against HIV after primary infection spreads the T cell response sufficiently over different TCRβV families that it becomes inapparent by global TCR repertoire analysis. Indeed, more sensitive functional and clonotype-based studies [8,9] demonstrated HIV-specific T cell responses in association with viral rebound during treatment interruption. Michael Granta Ingrid Pardoea Mark Whaleyb Julio S. G. Montanerb P. Richard Harriganb

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.612
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.005

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.267
Teacher spread0.234 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations6
Published2002
Admission routes2
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