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Record W4389362738 · doi:10.1128/jvi.01105-23

DAA-mediated HCV cure reduces HIV DNA levels in HCV/HIV coinfected people

2023· article· en· W4389362738 on OpenAlexafffund
Samaa T. Gobran, Amélie Pagliuzza, Omar Khedr, Augustine Fert, Nicolas Chomont, Julie Bruneau, Marina B. Klein, Petronela Ancuța, Naglaa H. Shoukry

Bibliographic record

VenueJournal of Virology · 2023
Typearticle
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsMcGill University Health CentreUniversité de MontréalMcGill UniversityCentre Hospitalier de l’Université de Montréal
FundersNational Institute of Allergy and Infectious DiseasesFonds de recherche du QuébecFonds de Recherche du Québec - SantéCanadian Institutes of Health ResearchCanada Research ChairsNational Institutes of HealthInternational AIDS SocietyPublic Health Agency of CanadaGovernment of CanadaPublic Health AgencyCanadian Foundation for AIDS ResearchStyrelsen för Internationellt Utvecklingssamarbete
KeywordsViremiaCoinfectionHepatitis C virusViral loadVirologyHepatitis CBiologyHuman immunodeficiency virus (HIV)ImmunologyVirus

Abstract

fetched live from OpenAlex

ABSTRACT The human immunodeficiency virus (HIV) persists in HIV viral reservoirs despite antiretroviral therapy (ART). Hepatitis C virus (HCV) coinfection is associated with increased HIV reservoir size and residual HIV transcription during ART. Herein, we investigated the impact of direct acting antivirals (DAA)-mediated HCV cure on the size/transcriptional activity of the HIV reservoirs and investigated predictors of HIV reservoirs decline in HCV+/HIV+ coinfected individuals. HCV+/HIV+ ( n = 20) and HCV+/HIV− ( n = 14) participants were examined prior to DAA treatment (baseline), at the end of treatment (EOT), and at 12–24 weeks after EOT (follow-up). In HCV+/HIV+ individuals, DAA-mediated HCV cure significantly reduced integrated HIV DNA levels, mainly in participants infected with HCV prior to HIV. Integrated HIV DNA, unspliced (US), and multiply spliced (MS) HIV RNA levels were quantified in sorted CD4+ T-cells. Despite the transient elevation of US HIV RNA at EOT, changes in US and MS HIV RNA were not statistically significant. Plasma inflammation markers were measured and DAA also reduced plasma sCD163 and sCD14. Changes in immunological/virological parameters were analyzed using multivariate random forest analysis where pre-ART peak HIV viremia and HCV viral load predicted integrated HIV DNA and US RNA changes. In conclusion, we demonstrate the beneficial impact of DAA on HIV reservoirs and immune activation, with a fraction of HIV reservoirs being DAA-sensitive in people infected with HCV before HIV. Furthermore, we identify HIV/HCV viremia as the top predictors of DAA-mediated changes in the HIV reservoirs. These findings support the need for early ART and DAA treatment in HIV/HCV coinfections. IMPORTANCE Antiretroviral therapy (ART) for human immunodeficiency virus (HIV) can control virus replication and prolong the life of people living with HIV (PLWH). However, the virus remains dormant within immune cells in what is called the HIV reservoir. Furthermore, 2.3 million PLWH are also coinfected with hepatitis C virus (HCV) and are at risk of developing chronic liver disease and cancer. HCV treatment with direct acting antivirals (DAA) can completely cure the infection in more than 95% of treated individuals and improve their long-term health outcomes. In this study, we investigated how HCV treatment and cure affect the HIV reservoir. We demonstrate the beneficial impact of DAA treatment as it reduces the HIV reservoirs in particular in people infected with HCV before HIV. These results support the need for early ART and DAA treatment in HIV/HCV coinfections.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.045
GPT teacher head0.356
Teacher spread0.312 · 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 designObservational
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

Citations6
Published2023
Admission routes2
Has abstractyes

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