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Enregistrement W4388728133 · doi:10.1128/mbio.02417-23

HIV reservoirs are dominated by genetically younger and clonally enriched proviruses

2023· article· en· W4388728133 sur OpenAlexafffund
Natalie N. Kinloch, Aniqa Shahid, Winnie Dong, Don Kirkby, Bradley R. Jones, Charlotte Johanna Beelen, Daniel MacMillan, Guinevere Q. Lee, Talia M. Mota, Hanwei Sudderuddin, Evan Barad, Marianne Harris, Chanson J. Brumme, R. Brad Jones, Mark A. Brockman, Jeffrey B. Joy, Zabrina L. Brumme

Notice bibliographique

RevuemBio · 2023
Typearticle
Langueen
DomaineImmunology and Microbiology
ThématiqueHIV Research and Treatment
Établissements canadiensUniversity of British ColumbiaAIDS VancouverSimon Fraser University
Organismes subventionnairesNational Institute of Allergy and Infectious DiseasesNational Institute of Neurological Disorders and StrokeNational Institute of Mental HealthNational Institute of Diabetes and Digestive and Kidney DiseasesNational Heart, Lung, and Blood InstituteCanadian Institutes of Health ResearchNational Institutes of HealthNational Institute on Drug AbuseSimon Fraser UniversityMichael Smith Health Research BC
Mots-clésHuman immunodeficiency virus (HIV)BiologyVirologyComputational biologyGenetics

Résumé

récupéré en direct d'OpenAlex

ABSTRACT In order to cure human immunodeficiency virus (HIV), we need to better understand the within-host evolutionary origins of the small reservoir of genome-intact proviruses that persist within infected cells during antiretroviral therapy (ART). Most prior studies on reservoir evolutionary dynamics, however, did not discriminate genome-intact proviruses from the vast background of defective ones. We reconstructed within-host pre-ART HIV evolutionary histories in six individuals and leveraged this information to infer the ages of intact and defective proviruses sampled after an average of >9 years on ART, along with the ages of rebound and low-level/isolated viremia occurring during this time. We observed that the longest-lived proviruses persisting on ART were exclusively defective, usually due to large deletions. In contrast, intact proviruses and rebound HIV exclusively dated to the years immediately preceding ART. These observations are consistent with genome-intact proviruses having shorter lifespans, likely due to the cumulative risk of elimination following viral reactivation and protein production. Consistent with this, intact proviruses (and those with packaging signal defects) were three times more likely to be genetically identical compared to other proviral types, highlighting clonal expansion as particularly important in ensuring their survival. By contrast, low-level/isolated viremia sequences were heterogeneous in terms of age, with some potentially originating from defective proviruses. Results reveal that the HIV reservoir is dominated by clonally enriched and genetically younger sequences that date to the period of untreated infection when viral populations had been under within-host selection pressures for the longest duration. Knowledge of these qualities may help focus strategies for reservoir elimination. IMPORTANCE Characterizing the human immunodeficiency virus (HIV) reservoir that endures despite antiretroviral therapy (ART) is critical to cure efforts. We observed that the oldest proviruses persisting during ART were exclusively defective, while intact proviruses (and rebound HIV) dated to nearer ART initiation. This helps explain why studies that sampled sub-genomic proviruses on-ART (which are largely defective) routinely found sequences dating to early infection, whereas those that sampled replication-competent HIV found almost none. Together with our findings that intact proviruses were more likely to be clonal, and that on-ART low-level/isolated viremia originated from proviruses of varying ages (including possibly defective ones), our observations indicate that (i) on-ART and rebound viremia can have distinct within-host origins, (ii) intact proviruses have shorter lifespans than grossly defective ones and thus depend more heavily on clonal expansion for persistence, and (iii) an HIV reservoir predominantly “dating” to near ART initiation will be substantially adapted to within-host pressures, complicating immune-based cure strategies.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,572
Score d'incertitude au seuil0,995

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,006

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,016
Tête enseignante GPT0,259
Écart entre enseignants0,244 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations18
Publié2023
Routes d'admission2
Résumé présentoui

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