Abstract 5882: Prevention of antibiotic-induced dysbiosis in human volunteers by DAV132 and preservation of responsiveness to anti-PD-1 demonstrated by transplantation of human feces into tumor-bearing mice
Notice bibliographique
Résumé
Abstract Background: Over the last decade, studies unraveled the cancer-immune dialogue in the setting of immune checkpoint inhibitors (ICI) and influenced by the gut microbiota. The first evidence of the key role of the microbiota in ICI modulation was observed during antibiotics (ATB) treatment, where altering the microbiota composition by ATB inhibited ICI responses. DAV132 (DAV) is an orally administered colon-targeted ATB adsorbent capsules designed to prevent ATB-induced dysbiosis. We investigated whether DAV co-administered with ATB could prevent ATB-related dysbiosis and ICI response. Methods: 72 human healthy volunteers (HV) were randomized to receive either IV ceftazidime-avibactam (CZA) or Piperacillin tazobactam (PTZ) alone or in combination with oral DAV. CZA and PTZ plasmatic and fecal pharmacodynamic levels were measured using HPLC-MS/MS. Microbiome was profiled with metagenomics at different timepoints. FMT experiments in germ-free mice were performed using fecal samples from HV from the trial, before (D1) or after 6 days (D6) of CZA or PTZ+/-DAV; subsequently mice were inoculated with MCA205 or B16 tumors and treated with anti-PD-1. Tumor infiltrating lymphocytes (TILs) were analyzed by flow cytometry. Results: DAV did not impact plasmatic CZA or PTZ concentrations, but significantly reduced ceftazidime and piperacillin concentrations in feces compared to ATB groups alone. DAV significantly prevented the reduction in microbiota alpha-diversity at D6 and was associated with a rapid return to baseline microbiota. 50 and 43 metagenomics species were preserved in the CZA+DAV vs CZA, or PTZ-DAV vs PTZ such as Faecalibacterium praunistzii, Alistipes Spp and Blautia obeum. FMT in germ-free mice using feces collected at D1 exhibited a significant anti-PD-1 activity. This anti-tumor response was inhibited in two tumors models in mice transplanted with D6 feces from patients in the CZA or PTZ alone groups. Conversely, the anti-tumor response was maintained in mice transplanted with D6 feces from HV treated with CZA+DAV or PTZ+DAV groups. Flow cytometry on TILs demonstrated that CZA decreased CD8+T cell and CD8+/Treg ratio compared to CZA+DAV. Conclusions: DAV prevented ATB-induced dysbiosis in HV treated with CZA or PTZ without influencing plasmatic concentrations. In avatar mice FMT from HV treated with CZA+DAV was able to preserve anti-PD-1 efficacy. These results provide rationale to launch clinical trials combining DAV in patients on ATB amenable to ICI. Citation Format: Meriem Messaoudene, Nathalie Saint-Lu, Frédérique Sablier-Gallis, Stéphanie Ferreira, Mayra Ponce, Clément Le Bescop, Thomas Loppinet, Tanguy Corbel, Céline Féger, Fabien Vitry, Antoine Andremont, Jean de Gunzburg, Bertrand Routy. Prevention of antibiotic-induced dysbiosis in human volunteers by DAV132 and preservation of responsiveness to anti-PD-1 demonstrated by transplantation of human feces into tumor-bearing mice [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5882.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».