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Record W2910583709 · doi:10.1371/journal.ppat.1007429

Roles, function and relevance of LAG3 in HIV infection

2019· review· en· W2910583709 on OpenAlexafffund
Colin Graydon, Allison L. Balasko, Keith R. Fowke

Bibliographic record

VenuePLoS Pathogens · 2019
Typereview
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsUniversity of Manitoba
FundersCanadian Institutes of Health ResearchCanadian Foundation for AIDS Research
KeywordsImmune systemImmunologyImmunityAntibodyBiologyPhenotypeHuman immunodeficiency virus (HIV)GeneGenetics

Abstract

fetched live from OpenAlex

HIV causes several forms of immune dysfunction that need to be addressed in a functional cure for HIV.Immune exhaustion describes a dysfunctional phenotype caused by chronic cellular activation.Lymphocyte activation gene-3 (LAG3) is one of several negative coreceptors known as immune checkpoints that contribute to this exhaustion phenotype.Antibodies targeting immune checkpoints are now used clinically to restore immunity against cancer and hold promise in restoring immunity during HIV infection.Here, we summarize current knowledge surrounding LAG3 and discuss its relevance during HIV infection and the potential for LAG3-targeting antibodies in a functional HIV cure. Author summaryAntiviral drugs have transformed HIV infection from a death sentence to a manageable disease.However, millions still lack access to these drugs, which require daily adherence.This allows the HIV epidemic to continue, killing a million people each year.The search for a cure has been long, but researchers now have a greater knowledge of HIV and human biology than ever before and are designing drugs and strategies that may be used in a cure.Checkpoint blockade is one strategy already used to treat cancer but may also eventually be used in an HIV functional cure, which would allow the body to control HIV without the help of antiviral drugs.Checkpoint blockade works by inhibiting molecules called immune checkpoints, which are the brakes of the immune system.Here we focus on an immune checkpoint called LAG3.LAG3 can be present on many different immune cells with differing frequency but is more abundant during HIV, in which having more LAG3 is associated with certain aspects of worse disease.Although it may have slightly different functions on different types of cells, overall, LAG3 reduces the cell's ability to respond to stimulus.Inhibiting LAG3 could reinvigorate immune cells to fight HIV and may even help fight coinfections such as hepatitis viruses.Inhibiting other immune checkpoints along with LAG3 may improve efficacy.If combined with other drugs and strategies to fight HIV, checkpoint blockade may allow the immune system to control HIV without the help of antiviral drugs-a functional cure.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.048
GPT teacher head0.301
Teacher spread0.254 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations43
Published2019
Admission routes2
Has abstractyes

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