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Record W2566895059 · doi:10.1097/qad.0000000000001368

Antibody therapy paired with antiretroviral therapy suppresses viral load long term in SIV+ macaques, even after treatment stops

2016· article· en· W2566895059 on OpenAlexfundaboutno aff
Kristin N. Harper

Bibliographic record

VenueAIDS · 2016
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsnot available
FundersUniversité de MontréalMcGill University
KeywordsSimian immunodeficiency virusAntibodyImmunologyRegimenVirologyMedicineViral loadVirusAntiretroviral therapyDiseaseMacaqueBiologyInternal medicine

Abstract

fetched live from OpenAlex

HIV-infected individuals can manage their disease with antiretroviral therapy (ART). However, maintaining a drug regimen for life is difficult, and the search for a cure continues. Recently, Byrareddy et al. published an article in Science (October 2016; 354: 197–202) demonstrating that in simian immunodeficiency virus (SIV)+ macaques whose infection was controlled with ART, an antibody treatment resulted in undetectable viral loads even after researchers withdrew ART and the antibody therapy. The antibody that the researchers used targeted α4β7 integrin, a molecule expressed on CD4+ T cells, and is known to disrupt trafficking of HIV-infected cells to the gastrointestinal tissues where the virus replicates and forms reservoirs. Thus, it appears that by interfering with HIV's ability to hijack α4β7 integrin-expressing CD4+ T cells, this approach suppressed the virus long term in macaques, without the need for continuing therapy. Author Aftab Ansari (Professor, Emory University), who says these results took the team by surprise, explains that the most significant aspect of the study is that ‘the administration of an antibody that is almost identical to the one already approved by the US Food & Drug Administration for treating patients with Crohn's disease is able to control virus replication to undetectable levels for up to 2 years after all therapy has been stopped, when administered to SIV-infected rhesus macaques under the umbrella of short-term ART.’ Petronella Ancuta (Associate Professor, Université de Montréal), whose lab works on human HIV studies, notes, ‘The results are spectacular; they suggest that blocking α4β7-mediated migration in different tissues allows a functional cure. The data are very intriguing since it challenges our understanding of mechanisms of viral persistence during ART.’ With regard to the study's strengths, Ansari notes that in addition to controlling viral replication, this short-term, combined therapy also led to immune reconstitution to almost normal levels, both in the blood and in gastrointestinal tissues. In terms of limitations, he explains that the study required that therapy be initiated as early as 5 weeks postinfection, which might be difficult to achieve in HIV-infected humans. Ancuta also says that factors such as the genetic background of the animals or infection with less virulent SIV strains could have affected the results, and notes the need for replication by other labs. Anthony Fauci (Director, National Institute of Allergy and Infectious Diseases), also an author, says that plans to follow up on the results in humans are already underway: ‘We have begun the Phase 1 study in HIV-infected patients who have been virally suppressed on ART with the hope of successfully discontinuing ART after several doses of vedolizumab. It will take several months before even preliminary data are available.’ Ansari notes, ‘If this is translatable to human HIV-1 infected patients, it could lead to eliminating the requirement for a lifetime daily intake of ART.’ Acknowledgements Conflicts of interest There are no conflicts of interest.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.014
GPT teacher head0.277
Teacher spread0.263 · 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 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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Citations0
Published2016
Admission routes2
Has abstractyes

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