Synthetic cannabinoid receptor agonists (SCRAs) are compounds that mimic the pharmacology of the psychoactive components in cannabis. These compounds are structurally diverse, inexpensive, commercially available, and difficult to identify with modern analytical methods, making them highly accessible for recreational use. Suspected SCRA toxicity, which can present with a breadth of cardiovascular, gastrointestinal, and neurological disturbances, is currently addressed through symptom management followed by a toxicological screening that often occurs long after patient discharge. Here, we report the development of four cross-reactive anti-SCRA bioconjugate vaccines as a platform for developing improved diagnostic and therapeutic interventions against SCRA intoxication, using SCRA-resembling small molecule haptens that combine common subregional motifs occurring within and across different generations of SCRA molecules. Using a combination of multiplexed competitive ELISA screening and chemoinformatic analyses, it was found that the antibodies resulting from vaccination with these bioconjugates demonstrated their ability to detect multiple SCRAs with a Tanimoto minimum common structure score of 0.6 or greater, at concentrations below 8 ng/mL. The scope of SCRAs detectable using these haptens was found to include both bioisosteric and non-bioisosteric variants within the core and tail subregions, as well as SCRAs bearing valine-like head subregions, which are not addressed by commercially available ELISA screening approaches. Vaccination with these bioconjugates was also found to prevent the changes in locomotion and body temperature that were induced by a panel of SCRAs at doses of 1 and 3 mg/kg. Further refinement of this genericized hapten design and cross-reactivity-prioritizing approach may enable the rapid detection of otherwise cryptic SCRAs that arise during overdose outbreaks, and could ultimately lead to identification of monoclonal antibody species applicable for overdose reversal.
Keywords: antibodies; behavior; cannabinoids; chemoinformatics; cross-reactivity.