Dataset Information

MPL Adjuvant Contains Competitive Antagonists of Human TLR4.

ABSTRACT: Monophosphoryl lipid A (MPL®) is the first non-alum vaccine adjuvant to achieve widespread clinical and market acceptance, a remarkable achievement given that it is manufactured from a Salmonella enterica endotoxin. To understand how MPL® successfully balanced the dual mandate of vaccine design-low reactogenicity with high efficacy-clinical- and research-grade MPL was evaluated in human and mouse cell systems. Stimulatory dose response curves revealed that most preparations of MPL are much more active in mouse than in human cell systems, and that the limited efficacy observed in human cells correlated with TLR4 inhibitory activity that resulted in a partial agonist profile. Further analysis of the major components of MPL® adjuvant prepared synthetically identified two structural variants that functioned as competitive antagonists of human TLR4. A partial agonist profile could be recapitulated and manipulated by spiking synthetic agonists with synthetic antagonists to achieve a broad dose range over which TLR4 stimulation could be constrained below a desired threshold. This report thus identifies mixed agonist-antagonist activity as an additional mechanism by which MPL® adjuvant is detoxified, relative to its parental LPS, to render it safe for use in prophylactic vaccines.

SUBMITTER: Wang YQ

PROVIDER: S-EPMC7596181 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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MPL Adjuvant Contains Competitive Antagonists of Human TLR4.

Wang Yi-Qi YQ Bazin-Lee Hélène H Evans Jay T JT Casella Carolyn R CR Mitchell Thomas C TC

Frontiers in immunology 20201016

Monophosphoryl lipid A (MPL®) is the first non-alum vaccine adjuvant to achieve widespread clinical and market acceptance, a remarkable achievement given that it is manufactured from a Salmonella enterica endotoxin. To understand how MPL® successfully balanced the dual mandate of vaccine design-low reactogenicity with high efficacy-clinical- and research-grade MPL was evaluated in human and mouse cell systems. Stimulatory dose response curves revealed that most prepa ...[more]

PMID: 33178204

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Project description:Endocrine disrupting chemicals (EDCs) are exogenous compounds that interfere with the endocrine system of vertebrates, often through direct or indirect interactions with nuclear receptor proteins. Estrogen receptors (ERs) are particularly important protein targets and many EDCs are ER binders, capable of altering normal homeostatic transcription and signaling pathways. An estrogenic xenobiotic can bind ER as either an agonist or antagonist to increase or inhibit transcription, respectively. The receptor conformations in the complexes of ER bound with agonists and antagonists are different and dependent on interactions with co-regulator proteins that vary across tissue type. Assessment of chemical endocrine disruption potential depends not only on binding affinity to ERs, but also on changes that may alter the receptor conformation and its ability to subsequently bind DNA response elements and initiate transcription. Using both agonist and antagonist conformations of the ER?, we developed an in silico approach that can be used to differentiate agonist versus antagonist status of potential binders.The approach combined separate molecular docking models for ER agonist and antagonist conformations. The ability of this approach to differentiate agonists and antagonists was first evaluated using true agonists and antagonists extracted from the crystal structures available in the protein data bank (PDB), and then further validated using a larger set of ligands from the literature. The usefulness of the approach was demonstrated with enrichment analysis in data sets with a large number of decoy ligands.The performance of individual agonist and antagonist docking models was found comparable to similar models in the literature. When combined in a competitive docking approach, they provided the ability to discriminate agonists from antagonists with good accuracy, as well as the ability to efficiently select true agonists and antagonists from decoys during enrichment analysis.This approach enables evaluation of potential ER biological function changes caused by chemicals bound to the receptor which, in turn, allows the assessment of a chemical's endocrine disrupting potential. The approach can be used not only by regulatory authorities to perform risk assessments on potential EDCs but also by the industry in drug discovery projects to screen for potential agonists and antagonists.

Dataset Information

MPL Adjuvant Contains Competitive Antagonists of Human TLR4.

Publications

MPL Adjuvant Contains Competitive Antagonists of Human TLR4.

Similar Datasets

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