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Role of HIV-1 Envelope Glycoproteins Conformation and Accessory Proteins on ADCC Responses

2015· article· en· W2280540363 on OpenAlexafffund
Maxime Veillette, Jonathan Richard, Marzena Pazgier, George K. Lewis, Matthew S. Parsons, Andrés Finzi

Bibliographic record

VenueCurrent HIV Research · 2015
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsCentre Hospitalier de l’Université de Montréal
FundersNational Institute of Allergy and Infectious DiseasesCanadian Institutes of Health Research
KeywordsAntibody-dependent cell-mediated cytotoxicityEpitopeGlycoproteinEffectorVirologyBiologyAntibodyHuman immunodeficiency virus (HIV)Vaccine trialImmunologyMonoclonal antibodyGenetics

Abstract

fetched live from OpenAlex

The role of antibody Fc-mediated effector functions in controlling or preventing infections by human immunodeficiency type 1 (HIV-1) and simian immunodeficiency (SIV) viruses has been recently highlighted in multiple studies. One of those effector functions, antibody-dependent cellular cytotoxicity (ADCC) was suggested as correlating with decreased HIV-1 acquisition risk in the recent Thai RV144 vaccine trial. RV144-elicited antibodies with potent ADCC activity were recently found to recognize HIV envelope (Env) epitopes exposed upon Env-CD4 interaction. However, HIV-1 efficiently limits the exposure of those epitopes by strongly downregulating CD4 by both Nef and Vpu accessory proteins, as well as indirectly preventing the accumulation of Env at the cell surface by Vpu-mediated BST-2 antagonism. These accessory proteins were thus proposed to play a critical role in decreasing the susceptibility of HIV-infected cells to elimination by ADCC. In this review we will summarize these recent findings and discuss the critical role that HIV-1 envelope glycoproteins conformation plays on ADCC responses, how these responses can be measured in the laboratory, the role of HIV-1-transmission on ADCC responses and how this knowledge can be used to develop new strategies aimed at targeting HIV-1-infected cells.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.574
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.004

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 head0.122
GPT teacher head0.389
Teacher spread0.267 · 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; a candidate call from one teacher head, not a consensus.

Study designNot applicable
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".

Quick stats

Citations42
Published2015
Admission routes2
Has abstractyes

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