Polymer-mediated delivery of vaccines to treat opioid use disorders and to reduce opioid-induced toxicity.


Journal

Vaccine
ISSN: 1873-2518
Titre abrégé: Vaccine
Pays: Netherlands
ID NLM: 8406899

Informations de publication

Date de publication:
19 06 2020
Historique:
received: 20 03 2020
revised: 05 05 2020
accepted: 09 05 2020
pubmed: 23 5 2020
medline: 28 4 2021
entrez: 23 5 2020
Statut: ppublish

Résumé

Vaccines offer a potential strategy to treat opioid use disorders (OUD) and to reduce the incidence of opioid-related overdoses. Vaccines induce opioid-specific polyclonal antibodies that selectively and effectively bind the target opioid and prevent its distribution across the blood-brain barrier. Because antibody-mediated reduction of drug distribution to the brain reduces drug-induced behavior and toxicity, vaccine efficacy depends on the quantity and quality of the antibody response. This study tested whether polymer-mediated delivery could improve vaccine efficacy against opioids as well as eliminate the need for booster injections normally required for a successful immunization. A series of novel biodegradable biocompatible thermogelling pentablock co-polymers were used to formulate a candidate vaccine against oxycodone in mice and rats. Polymer-based delivery of the anti-oxycodone vaccine was equally or more effective than administration in aluminum adjuvant in generating oxycodone-specific antibodies and in reducing oxycodone-induced effects and oxycodone distribution to the brain in mice and rats. The composition and release kinetics of the polymer formulations determined vaccine efficacy. Specifically, a formulation consisting of three simultaneous injections of the anti-oxycodone vaccine formulated in three different polymers with slow, intermediate, and fast release kinetics was more effective than an immunization regimen consisting of three sequential injections with the vaccine adsorbed on aluminum. The novel three-phased polymer vaccine formulation was effective in blocking oxycodone-induced antinociception, respiratory depression and bradycardia in rats.

Identifiants

pubmed: 32439214
pii: S0264-410X(20)30646-0
doi: 10.1016/j.vaccine.2020.05.027
pmc: PMC8268746
mid: NIHMS1713463
pii:
doi:

Substances chimiques

Analgesics, Opioid 0
Polymers 0
Vaccines 0
Oxycodone CD35PMG570

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

4704-4712

Subventions

Organisme : NIDA NIH HHS
ID : R01 DA041730
Pays : United States

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Valeria Gradinati, Federico Baruffaldi, Santhi Abbaraju, Megan Laudenbach and Marco Pravetoni have no competing interests to declare. Rasidul Amin and Brian Gilger have financial interest in i-novion, Inc., and Poonam Velagaleti is a cofounder of i-novion, Inc.

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Auteurs

Valeria Gradinati (V)

Hennepin Healthcare Research Institute, Minneapolis, MN, United States; University of Minnesota Medical School, Department of Pharmacology, Minneapolis, MN, United States.

Federico Baruffaldi (F)

Hennepin Healthcare Research Institute, Minneapolis, MN, United States.

Santhi Abbaraju (S)

Symmetry Biosciences, Raleigh, NC, United States.

Megan Laudenbach (M)

Hennepin Healthcare Research Institute, Minneapolis, MN, United States.

Rasidul Amin (R)

Symmetry Biosciences, Raleigh, NC, United States.

Brian Gilger (B)

North Carolina State University, NC, United States.

Poonam Velagaleti (P)

i-novion Inc, Randolph, NJ, United States.

Marco Pravetoni (M)

Hennepin Healthcare Research Institute, Minneapolis, MN, United States; University of Minnesota Medical School, Department of Pharmacology, Minneapolis, MN, United States; University of Minnesota, Center for Immunology, Minneapolis, MN, United States. Electronic address: prave001@umn.edu.

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Classifications MeSH