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Enregistrement W4310089938 · doi:10.1182/blood-2022-165775

Phase I Study Evaluating Outcomes of Autologous HIV-Specific T Cells Targeting Non-Escaped Epitopes (HST-NEET) Therapy in HIV+ Individuals on ART (NCT03485963)

2022· article· en· W4310089938 sur OpenAlexaff
Danielle Sohai, Michael D. Keller, Patrick J. Hanley, Anushree Datar, Emily Reynolds, Dennis C. Copertino, Chase D. McCann, Haili Lang, Cecilia Motta, Andrew W. Wilson, Rebecca M. Lynch, Winiffer Conce Alberto, Zabrina L. Brumme, Natalie N. Kinloch, Carolina Colli Cruz, Lynsay MacLaren Ehui, Sarah Henn, R. Brad Jones, Catherine M. Bollard

Notice bibliographique

RevueBlood · 2022
Typearticle
Langueen
DomaineImmunology and Microbiology
ThématiqueHIV Research and Treatment
Établissements canadiensAIDS VancouverSimon Fraser University
Organismes subventionnairesnon disponible
Mots-clésEpitopeMedicineImmunologyAdverse effectVirologyAntibodyImmune systemViral loadCD8Internal medicineHuman immunodeficiency virus (HIV)

Résumé

récupéré en direct d'OpenAlex

While allogeneic bone marrow transplant (alloBMT) can offer a curative approach for HIV, successes have been limited. HIV-specific CD8+ T cells may be harnessed to eliminate or control HIV, but these responses are limited by factors including viral immune escape mutations. In this study, we hypothesized that T cell therapies targeting conserved HIV epitopes would be safe and show in vivo antiviral activity. This phase I clinical trial (NCT03485963) evaluated the safety, immunologic and virologic responses of a novel HIV-1 multi-antigen specific T cell therapy (HST-NEET) targeting HIV Nef and conserved epitopes of Gag and Pol in people with HIV suppressed on antiretroviral therapy (ART). We investigated whether infused autologous HST-NEETs expand, persist, and elicit anti-viral responses in vivo. Six participants with HIV (ages 33-57 years, 3 males and 2 females identifying as African or African American, 1 male identifying as White) received two infusions (2x107 cells/m2 BSA/dose) of HST-NEETs without prescribed lymphodepletion. Treatment follow-up was conducted for 48 weeks post-infusions. RESIST001 and 005 received infusions 4 weeks apart. RESIST003 and 004 received infusions >4 weeks apart (58 weeks and 35 weeks, respectively) due to delays caused by the COVID-19 pandemic. RESIST006 and 007 received infusions 2 weeks apart. RESIST004 was hospitalized for COVID-19 between infusions, but no attributable severe adverse events were observed for any participant irrespective of the timing of their infusions. All participants remained on ART throughout the study period. To determine the epitope specificities and breadth of the T cell repertoire within the infusion products, IFNγ ELISPOT and intracellular cytokine flow cytometric assays were used to evaluate antigen-specific responses to HIV Gag, Pol, and Nef in the HST-NEET products. These studies also support tracking of the infused T cells in vivo. ELISPOT, flow cytometry and TCR sequencing were conducted to evaluate expansion and persistence of HIV-specific T cell clones in vivo. Pre- and post-infusion, the genetically intact HIV reservoir was quantified using the intact proviral DNA assay (IPDA), while HIV Envelope gp120 (Env)-specific antibody levels were assessed using ELISA. HST-NEET infusion products met clinical dose requirements, with predominantly CD3+CD8+ (med 70.7%, range 19% to 95.6%) populations expressing effector memory (CD45RO+CCR7-CD62L-) (86.8-98.4%) markers. HST-NEET products had specificity for 1-3 viral antigens with a dominance of Nef-specific responses (Table 1). Epitope mapping of the products identified 10 recognized epitopes, including repeated Nef epitopes associated with the HLA-B07 supertype. Post-infusion studies (including TCR sequencing) for RESIST001 revealed marked in vivo expansion and persistence of T cells recognizing the same Nef peptide in the HST-NEETs product. However, no changes in HIV gp120 antibody levels or viral load were observed. RESIST005 HST-NEETs recognized 3 Nef epitopes but again, no changes in viral load were observed. RESIST004 also received a predominantly Nef-specific HST-NEET product eliciting expansion of Nef-specific T cells in vivo post-infusion. In contrast to RESIST001 and 005, a decrease in HIV reservoir size was observed in RESIST004 post-infusion #1 from 32.1 (pre) to 0 (at 36 weeks) intact proviruses/million CD4+ T cells (INTACT/M), which remained low at 8.4 INTACT/M post-infusion #2. RESIST003 products were broadly specific, mapping to 4 HIV Pol and 2 Nef CD8-restricted epitopes and at 5 weeks post-infusion #1, HIV reservoir size markedly decreased from 24.4 to 0 INTACT/M. Further, post HST-NEET infusion #2, the levels remained low (mean 6.3 INTACT/M). The immune and anti-viral studies are ongoing for RESIST006 and 007. In summary, these data suggest that infusions of HST-NEETs are safe, can elicit expansion and persistence of HIV-specific T cell populations post-infusion even without prescribed lymphodepletion, and may be associated with durable decreases in the HIV reservoir, as measured by intact proviruses. Although these studies are ongoing, the infusion of HST-NEETs may be a viable therapeutic strategy in the lymphodepleted setting post autologous and allogeneic stem cell transplant as is also being evaluated in 2 ongoing clinical trials (NCT04975698 and NCT04248192, respectively). Figure 1View largeDownload PPTFigure 1View largeDownload PPT Close modal

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Essai non randomisé · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,005
Score d'incertitude au seuil0,017

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0010,000
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,0050,001

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 Opus0,032
Tête enseignante GPT0,323
Écart entre enseignants0,291 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeEssai non randomisé
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

Citations1
Publié2022
Routes d'admission1
Résumé présentoui

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