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Record W2161670720 · doi:10.2174/157016210794088245

HIV-Specific T Cells: Strategies for Fighting a Moving Target

2010· review· en· W2161670720 on OpenAlexaff
Lyle R. McKinnon, Rupert Kaul, Melissa Herman, Francis A. Plummer, T. Blake Ball

Bibliographic record

VenueCurrent HIV Research · 2010
Typereview
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsUniversity of TorontoCanada Research Chairs
Fundersnot available
KeywordsBiologyViral quasispeciesImmunityHuman immunodeficiency virus (HIV)ImmunologyHIV vaccineImmune systemCD8AlleleCladeEvolutionary biologyVirologyVirusGeneticsGeneVaccine trialPhylogenetics

Abstract

fetched live from OpenAlex

HIV vaccine development faces many hurdles, including the failure of empirical approaches, an incomplete understanding of protective immunity, and the extreme genetic diversity of HIV-1. HIV is a moving target in at least two key ways: 1) within an infected individual, years of evolution lead to the formation of quasispecies, and selection of variants with increased fitness, and 2) during the course of the pandemic, subtypes change in frequency as they are transmitted from host to host. In spite of this, CD8+ T cells are often able to overcome HIV diversity, leading to relatively high levels of cross-reactive and cross-clade responses. Recent research suggests that the cross-reactivity of HIV-specific CD8+ T cell responses should be evaluated comprehensively, using multiple immunological assays (including those that correlate best with protective immunity), and taking into account subtle differences in epitopic variation, presenting HLA allele, and cognate TCR that all influence recognition and escape. In addition, although escape and cross-reactivity are often predictable, important differences can be present, particularly in the setting of multiple and different clades. Finally, strategies to optimize the induction of protective, cross-reactive T cells, and towards the likely infecting strain in the mucosa where exposure occurs and opportunities to prevent infection are greatest, are urgently needed. Though some cues can be found from observational studies, more in depth analyses of past and ongoing HIV vaccine trials will be needed to know if and how HIV genetic diversity can be overcome by vaccine-induced T cells. Keywords: HIV, vaccine, clade, cell-mediated immunity, pandemic, immunological assays, cross-reactive T cells, vaccine-induced T cells, autologous neutralizing antibodies, malaria, highly exposed seronegative (HESN), SIV vaccination, long-term non-progressors (LTNPs), elite controllers (ECs), HIV diversity, influenza epidemic, Phylogenetic analyses, viral replication, TCR recognition, HIV-specific CD8+ T cell responses, recombinant vaccinia cross-clade screen, protective immunity, viremia, infected placebo recipients, phylogenetic clusters, cross-clade epitopes, IFN, Chromium, Leishmania major, yellow fever, ELISAs, TCR clonotype, immunogenicity, Antagonism, cytokine, cytotoxicity, autoimmune diseases, immune system, HIV vaccination, HIV vaccine, sexually transmitted infections, CMV-vectored vaccine

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.836
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0020.021

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 head0.189
GPT teacher head0.438
Teacher spread0.249 · 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 designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations4
Published2010
Admission routes1
Has abstractyes

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